Course description

The course is in e-learning format

Prerequisites:

Informatics, Biomathematics

Suggested literature:

Wassertheil-Smoller S. Biostatistics and Epidemiology, A Primer for Health and Biomedical Professionals, Springer, 1990, 1995, 2004.

Petrie A, Watson P. Statistics for Veterinary and Animal Science. 3rd edition. Wiley-Blackwell, 2013.

Date

E-learning format with weekly deadlines. Optional online consultation on Thursdays from 17:15 to 18:00 or at a mutually agreed time.

Teacher

Mrs. Harnos Andrea            [Click to see email]

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Lectures theme

Week	Topic
1.	Data recording and data verification with Excel
2.	Creating descriptive statistics and graphs with Excel
3.	Exploratory analyses with RCommander
4.	Estimates
5.	Analysis of means and variances
6.	ANOVA models
7.	Multiple comparisons
8.	Nonparametric methods
9.	Analysis of qualitative data
10.	Basics of experimental design
11.	Basics of sample size estimation
12.	Analysis of continuous variables
13.	ANCOVA models
14.	Diagnostic tests
15.	Communication of statistical findings

Evaluation description

Exam

Electronic exam with theoretical questions and practical exercises

Requirements of signature and obtaining a grade

Solving the issued exercises by the given deadlines.

Grading

<50%	1
≥50%	2
≥60%	3
≥75%	4
≥85%	5