EMBS0111c Biostatistics - practices

Faculty of Medicine
autumn 2020
Extent and Intensity
0/1/0. 1 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Taught online.
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Mgr. Jan Švancara (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
Contact Person: RNDr. Jiří Jarkovský, Ph.D.
Supplier department: Institute of Biostatistics and Analyses - Other Departments for Educational and Scientific Research Activities - Faculty of Medicine
Timetable
Thu 8. 10. 8:00–9:40 D29/347-RCX2, Thu 22. 10. 8:00–9:40 D29/347-RCX2, Thu 5. 11. 8:00–9:40 D29/347-RCX2, Thu 19. 11. 8:00–9:40 D29/347-RCX2, Thu 3. 12. 8:00–9:40 D29/347-RCX2, Thu 17. 12. 8:00–9:40 D29/347-RCX2, Thu 14. 1. 8:00–9:40 D29/347-RCX2
Prerequisites
EMBS0111p Biostatistics in the same semester.
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
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.
Learning outcomes (in Czech)
Student bude po absolvování předmětu schopen:
- používat následující metody analýzy metod:
- Popisná statistika, vizualizace dat.
- Tabulka statistických rozdělení.
- Základy designu experimentů.
- Modelová rozdělení pro spojité a kategoriální proměnné.
- Aplikace binomického rozdělení na biologická data.
- Jednovýběrové testy.
- Dvouvýběrové testy.
- Test dobré shody.
- Analýza rozptylu (ANOVA).
- Korelace, lineární regrese.
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 distribution in biology.
  • One sample testing: sample mean, median, standard deviation, variance, binomial p.
  • Two sample testing. Parametric and non - parametric methods.
  • Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
  • Covariance, correlation coefficients.
  • Analysis of variance (ANOVA), non-parametric ANOVA alternatives.
  • Linear regression.
Literature
  • Zar, J.H. (1998) Biostatistical analysis. Prentice Hall, London. 4th ed.
  • 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
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 (probably available only in Czech)
Study Materials
Information on the extent and intensity of the course: 15.
The course is also listed under the following terms autumn 2021, autumn 2022.
  • Enrolment Statistics (autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/med/autumn2020/EMBS0111c