LF:ASTAc Biostatistics - practice - Course Information
ASTAc Biostatistics - practice
Faculty of MedicineAutumn 2012
- Extent and Intensity
- 0/1. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Mgr. Lukáš Kohút (seminar tutor)
RNDr. Michaela Cvanová, Ph.D. (seminar tutor)
RNDr. Denisa Krejčí, Ph.D. (seminar tutor)
Mgr. Matyáš Kuhn (seminar tutor) - Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Supplier department: Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine - Timetable of Seminar Groups
- ASTAc/01: Thu 20. 9. to Fri 21. 12. Thu 16:00–17:40 F01B1/709
ASTAc/02: Thu 20. 9. to Fri 21. 12. Thu 16:00–17:40 F01B1/709
ASTAc/03: Thu 20. 9. to Fri 21. 12. Thu 17:50–19:30 F01B1/709
ASTAc/04: Thu 20. 9. to Fri 21. 12. Thu 17:50–19:30 F01B1/709 - Prerequisites
- None - basic course.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Biomedicínská technika a bioinformatika (programme LF, C-CV)
- Laboratory Assistant (programme LF, B-SZ)
- Course objectives
- Introduction to statistics, testing of hypotheses.
Tables of distribution functions.
Introduction to sampling design.
Distribution of continuous and bivariate variables.
Application of binomial and Poisson distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Measures of similarity in ecology.
Analysis of variance (ANOVA).
Simple linear regression. Linear regression.
Experimental design. Non - parametric ANOVA. - Syllabus
- Introduction to statistics, testing of hypotheses.
- Tables of distribution functions. Sampling from biological populations, data processing.
- Introduction to sampling design. Continuous, ordinal and nominal data in biology.
- Distribution of continuous and bivariate variables - testing of hypotheses, graphical methods.
- Application of binomial and Poisson distribution in biology.
- One sample testing: sample mean, median, standard deviation, variance, binomial p and Poisson constant.
- Two sample testing. Experimental design - randomized and blocked. Parametric and non - parametric methods.
- Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
- Measures of similarity in ecology (covariance, correlation coefficients, similarity coefficients).
- Analysis of variance (ANOVA): one-way and two-way model.
- Simple linear regression. Linear regression. Introduction to multivariate linear regression.
- Experimental design: one-way and two-way models; factorial design, randomized blocks. Laboratory and field trials. Nested design of ANOVA in genetics and ecology. Non - parametric ANOVA.
- Literature
- Petrie, A., Watson, P. (2006) Statistics for Veterinary and Animal Science, Wiley-Blackwell; 2nd ed
- Sokal, R.R., Rohlf, F.J. (1994) Biometry, W. H. Freeman, 3th ed.
- Zar, J.H. (1998) Biostatistical analysis. Prentice Hall, London. 4th ed.
- Teaching methods
- Practical training using computers
- Assessment methods
- The credit for the course is obtained from presence of student on lectures.
- Language of instruction
- Czech
- Further Comments
- Study Materials
- Teacher's information
- http://www.cba.muni.cz/vyuka/
- Enrolment Statistics (Autumn 2012, recent)
- Permalink: https://is.muni.cz/course/med/autumn2012/ASTAc