ASTAc Biostatistics - practice

Faculty of Medicine
autumn 2025
Extent and Intensity
0/1/0. 2 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Michaela Cvanová, Ph.D. (seminar tutor)
Mgr. Renata Chloupková (seminar tutor)
Mgr. Ondřej Ngo, Ph.D. (seminar tutor)
RNDr. Michal Svoboda (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/1: Thu 25. 9. 16:00–17:40 D29/347-RCX2, Thu 9. 10. 16:00–17:40 D29/347-RCX2, Thu 23. 10. 16:00–17:40 D29/347-RCX2, Thu 6. 11. 16:00–17:40 D29/347-RCX2, Thu 20. 11. 16:00–17:40 D29/347-RCX2, Thu 4. 12. 16:00–17:40 D29/347-RCX2, Thu 18. 12. 16:00–17:40 D29/347-RCX2, D. Haruštiaková
ASTAc/2: Thu 18. 9. 16:00–17:40 D29/347-RCX2, Thu 2. 10. 16:00–17:40 D29/347-RCX2, Thu 16. 10. 16:00–17:40 D29/347-RCX2, Thu 30. 10. 16:00–17:40 D29/347-RCX2, Thu 13. 11. 16:00–17:40 D29/347-RCX2, Thu 27. 11. 16:00–17:40 D29/347-RCX2, Thu 11. 12. 16:00–17:40 D29/347-RCX2, D. Haruštiaková
ASTAc/3: Thu 25. 9. 14:00–15:40 D29/347-RCX2, Thu 9. 10. 14:00–15:40 D29/347-RCX2, Thu 23. 10. 14:00–15:40 D29/347-RCX2, Thu 6. 11. 14:00–15:40 D29/347-RCX2, Thu 20. 11. 14:00–15:40 D29/347-RCX2, Thu 4. 12. 14:00–15:40 D29/347-RCX2, Thu 18. 12. 14:00–15:40 D29/347-RCX2, D. Haruštiaková
ASTAc/4: Thu 18. 9. 14:00–15:40 D29/347-RCX2, Thu 2. 10. 14:00–15:40 D29/347-RCX2, Thu 16. 10. 14:00–15:40 D29/347-RCX2, Thu 30. 10. 14:00–15:40 D29/347-RCX2, Thu 13. 11. 14:00–15:40 D29/347-RCX2, Thu 27. 11. 14:00–15:40 D29/347-RCX2, Thu 11. 12. 14:00–15:40 D29/347-RCX2, D. Haruštiaková
Prerequisites
None - basic course.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course is basic introduction into practical data analysis for students of biology and clinical study specialisations. The course accompanies lectures of Bi5040 Biostatistics and shows the computation of presented methods on PC using statistical software (descriptive statistics, one sample and two sample tests, categorical data analysis, ANOVA, correlation and regression analysis, data visualisation, basics of experimental design).
Learning outcomes
The students will be able after the course to use the folowing data analysis methods:
Descriptive statistics, data visualisation.
Tables of distribution functions.
Introduction to sampling design and experimental design.
Distribution of continuous and bivariate variables.
Application of binomial distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Analysis of variance (ANOVA), non - parametric ANOVA.
Corelation, linear regression.
Syllabus
1. Data processing – principles of correct data manipulation. MS Office Excel – appropriate tool for storing, organizing, and manipulating data. • 2. Introduction to statistics. Data types in medicine and biology; nominal, ordinal, continuous variable. Visualization of quantitative and qualitative (categorical) variables. • 3. Descriptive statistics. Mean, median, quantiles, variance. Frequency table. • 4. Distribution of continuous variables. Normal distribution, log-normal distribution. • 5. Principles of hypotheses testing. Definition of null and alternative hypothesis. Significance level. Type I and type II error. • 6. Graphical examining of normal distribution (histogram, normal-probability plot). Shapiro-Wilk test – a test of normality. • 7. Parametrical tests: t-tests. One-sample t-test, two-sample t-test, t-test for dependent samples. • 8. Analysis of variance ANOVA. • 9. Nonparametrical tests: one-sample Wilcoxon test, Mann-Whitney U test, Wilcoxon test for dependent samples, Kruskal-Wallis test. • 10. Definition of contingency table and its analysis: Pearson chi-square test, Fisher exact test, McNemar test. • 11. Correlation. Pearson correlation coefficient, Spearman correlation coefficient. • 12. Introduction to regression analysis. Linear regression.
Literature
  • 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.
  • Sokal, R.R., Rohlf, F.J. (1994) Biometry, W. H. Freeman, 3th 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.iba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, autumn 2018, autumn 2019, autumn 2020, autumn 2021, autumn 2022, autumn 2023, autumn 2024.
  • Enrolment Statistics (recent)
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