EMBS0111c Biostatistics - practices

Faculty of Medicine
autumn 2024
Extent and Intensity
0/1/0. 1 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
Mgr. Renata Chloupková (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
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
Upon completion of the course, the student will be able to:
- use the following methods of method analysis:
- Descriptive statistics, data visualization.
- Table of statistical distributions.
- Basics of experimental design.
- Model distributions for continuous and categorical variables.
- Application of binomial distributions to biological data.
- One-sample tests.
- Two-sample tests.
- Goodness-of-fit test.
- Analysis of variance (ANOVA).
- Correlation, linear regression.
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)
The course is taught: every other week.
Note related to how often the course is taught: každý druhý týden 2 hod, část seminárních skupin v liché a část v sudé týdny.
Information on the extent and intensity of the course: 15.
The course is also listed under the following terms autumn 2020, autumn 2021, autumn 2022, autumn 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/med/autumn2024/EMBS0111c