Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2005
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2004
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2004
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2003
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2003
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2002
Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2024

The course is not taught in Spring 2024

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2023

The course is not taught in Autumn 2023

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2023

The course is not taught in Spring 2023

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2022

The course is not taught in Autumn 2022

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2022

The course is not taught in Spring 2022

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
autumn 2021

The course is not taught in autumn 2021

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2021

The course is not taught in Spring 2021

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2020

The course is not taught in Autumn 2020

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2020

The course is not taught in Spring 2020

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2019

The course is not taught in Autumn 2019

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2019

The course is not taught in Spring 2019

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2018

The course is not taught in Autumn 2018

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
spring 2018

The course is not taught in spring 2018

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
autumn 2017

The course is not taught in autumn 2017

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2017

The course is not taught in Spring 2017

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2016

The course is not taught in Autumn 2016

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2016

The course is not taught in Spring 2016

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2015

The course is not taught in Autumn 2015

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2015

The course is not taught in Spring 2015

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2014

The course is not taught in Autumn 2014

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2014

The course is not taught in Spring 2014

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2013

The course is not taught in Autumn 2013

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2013

The course is not taught in Spring 2013

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2012

The course is not taught in Autumn 2012

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2012

The course is not taught in Spring 2012

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2011

The course is not taught in Autumn 2011

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2011

The course is not taught in Spring 2011

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2010

The course is not taught in Autumn 2010

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2010

The course is not taught in Spring 2010

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2009

The course is not taught in Autumn 2009

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2009

The course is not taught in Spring 2009

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2008

The course is not taught in Autumn 2008

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2008

The course is not taught in Spring 2008

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2007

The course is not taught in Autumn 2007

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2007

The course is not taught in Spring 2007

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2006

The course is not taught in Autumn 2006

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2006

The course is not taught in Spring 2006

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2005

The course is not taught in Autumn 2005

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
spring 2012 - acreditation

The course is not taught in spring 2012 - acreditation

The information about the term spring 2012 - acreditation is not made public

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2011 - acreditation

The course is not taught in Autumn 2011 - acreditation

The information about the term Autumn 2011 - acreditation is not made public

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Autumn 2010 - only for the accreditation

The course is not taught in Autumn 2010 - only for the accreditation

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistical seminar I

Faculty of Science
Spring 2011 - only for the accreditation

The course is not taught in Spring 2011 - only for the accreditation

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Spring 2008 - for the purpose of the accreditation

The course is not taught in Spring 2008 - for the purpose of the accreditation

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Practically oriented course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. The course is an ongoing educational activity in the series of practical seminars I - III and is offered for students which are interesting in more periodically changed specilized lessons. Approximately 12-15 lessons are offered per academic year, a total amount of 18 courses is required for the full attendance of seminar series I-III. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.

Bi5041 Biostatistický seminář I

Faculty of Science
Autumn 2007 - for the purpose of the accreditation

The course is not taught in Autumn 2007 - for the purpose of the accreditation

Extent and Intensity
0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
Mgr. Adam Svobodník, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites (in Czech)
Doporučeno absolvování předmětu Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Intensive course focused on practical training of applied data analysis in the field of biological, ecological, biomedical and clinical data. Computer assisted training on specialized or commonly available software is directly included in the teaching plan. Different level of biostatistical experience or knowledge is possible, the course plan will be individualized. However, fo regular students of biological sciences, the attendance of basic course on biostatistics is recommended (e.g. Biostatistics, Bi5040). The attendance of at least 6 thematically specialized lessons is required for the course, in the cases of attendance of more lessons, the education can continue under courses Biostatistical seminar II and III. Lessons are periodically changed (annual period), always in order to cover limited number of leading topics. Main topics for Biostatistical seminar autumng 2002 - spring 2003 are as follows: (1) Biodiverzity data and ecological diverzity and (2) Statistical minor for predictive medicine.
Syllabus
  • Area of interest I. (2002/2003): Biodiversity and ecological diversity
  • 1. Course 1. MS Office in ecological data analysis - databases, algorithms, programming
  • 2. Course 2. Ecological algorithms I. Community structure, diverzity indices
  • 3. Course 3. Ecological algorithms II. Distance and similarity coefficients, association analysis
  • 4. Course 4. Ecological algorithms III. Species response models, ecological valences, niche
  • 5. Course 5. Ecological algorithms IV. Species abundance models and their interpretation
  • 6. Course 6. Multivariate analysis in ecology - cluster analysis, ordination
  • 7. Course 7. Differential equations in biology and ecology - deterministic models
  • Area of interest II. (2002/2003): Statistical minimum for predictive medicine
  • 1. Course 1. Predictive analysis in clinical data - overview
  • 2. Course 2. Survival analysis I. Basic course
  • 3. Course 3. Survival analysis II. Predictive models
  • 4. Course 4. Diagnostic tests - specificity and sensitivity, ROC analysis
  • 5. Course 5. Definition of 'cut-off' values
  • 6. Course 6. Multivariate methods in clinical data analysis
Literature
  • MELOUN, Milan and Jiří MILITKÝ. Statistické zpracování experimentálních dat. [1. vyd.]. Praha: Plus, 1994, 839 s. ISBN 80-85297-56-6. info
  • Snedecor G.W. and Cochran W.G. (1971). Statistical methods. Iowa State University Press.
  • Zar J.H. (1984). Biostatistical analysis. Perntice Hall. New Jersey.
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info
  • Magurran A., 1983: Ecological diversity and its measurement. Croom Helm, London
  • Cajo J.F. ter Braak, (1996). Unimodal models to relace species to environment. DLO-Agricultural Mathematics Group, Wageningen
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
  • BLAND, Martin. An introduction to medical statistics. 2nd ed. Oxford: Oxford University Press, 1996, xiv, 396. ISBN 0192624288. info
  • Altman D. G. (1991) Practical statistics for medical research. Chapman and Hall. London.
  • HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
  • HEBÁK, Petr and Jiří HUSTOPECKÝ. Vícerozměrné statistické metody s aplikacemi. Praha: SNTL - Nakladatelství technické literatury, 1987. info
  • Flury B. and Riedwyl H. (1988) Multivariate statistics. A practical approach. Chapman and Hall, London.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Note related to how often the course is taught: možnost blokové výuky.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005.
  • Enrolment Statistics (recent)