Bi5042 Biostatistický seminář II

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
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, Spring 2004, Autumn 2004, Spring 2005.
  • Enrolment Statistics (Autumn 2003, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2003/Bi5042