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LF:ASTAc Biostatistics - practice - Course Information

## ASTAc Biostatistics - practice

**Faculty of Medicine**

Autumn 2016

**Extent and Intensity**- 0/1/0. 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)

RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)

Mgr. Michal Uher (seminar tutor)

RNDr. Denisa Krejčí (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 16:00–17:40 A1/609 - IBA (A1,6.p, Kamenice 3)

ASTAc/02: Thu 16:00–17:40 A1/609 - IBA (A1,6.p, Kamenice 3)

ASTAc/03: Thu 17:50–19:30 A1/609 - IBA (A1,6.p, Kamenice 3)

ASTAc/04: Thu 17:50–19:30 A1/609 - IBA (A1,6.p, Kamenice 3) **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**- Sokal, R.R., Rohlf, F.J. (1994) Biometry, W. H. Freeman, 3th ed.
- Petrie, A., Watson, P. (2006) Statistics for Veterinary and Animal Science, Wiley-Blackwell; 2nd ed
- Zar, J.H. (1998) Biostatistical analysis. Prentice Hall, London. 4th ed.

**Teaching methods**- Practical training using computers
**Assessment methods**- Exam on computers based on correct application of statistical methods on example data.
**Language of instruction**- Czech
**Further Comments**- Study Materials
**Teacher's information**- http://www.cba.muni.cz/vyuka/

- Enrolment Statistics (Autumn 2016, recent)
- Permalink: https://is.muni.cz/course/med/autumn2016/ASTAc