Code | Completion | Credits | Range | Language |
---|---|---|---|---|
F7AMBMPV | Z,ZK | 6 | 2P+2C | English |
The course deals with the following topics: methods of statistical analysis intended primarily for medical research - clinical, biological, biochemical, biophysical and other studies, methods of descriptive and inductive statistics, statistical epidemiological methods, hypothesis testing, group comparison (parametric and non-parametric methods), ANOVA, correlation and simple regression analysis, multivariate regression models, multivariate linear models, logistic regression, discriminant analysis, survival analysis etc., model calculations and interpretation of results.
Requirements for assessment:
Active participation in seminars. Excused absence from a maximum of 2 seminars. All assignments submitted according to the instructions.
Examination:
The final exam is written. Only students who have obtained an assessment can apply for the exam. Subject grading follows the ECTS scale based on points obtained in the mid-term tests and at the exam.
1.Statistical procedures in medicine
2. Descriptive statistics I
3.Descriptive Statistics II
4.Hypothesis testing – paired and two-sample tests
5.Hypothesis testing – multivariate analysis
6.One-way analysis of variance
7.Contingency tables
8.Correlation and simple regression
9.Multivariate regression analysis
10.Discriminatory analysis
11.Logistic regression
12.ROC analysis and benefit-cost analysis
13.Survival analysis
14.Principal component analysis and factor analysis
1.Calculations of basic parameters of descriptive statistics
2.Calculations of basic parameters of descriptive statistics II
3.T-tests, Mann-Whitney U-test
4.ANOVA, Kruskal-Wallis ANOVA
5.Examples of hypothesis testing in biomedical research
6.Contingence tables
7.Correlation and regression analysis
8.ROC analysis and benefit-cost analysis
9. Multivariate regression analysis
10.Discriminatory analysis
11.Logistic regression
12.Survival analysis
13.Principal component analysis and factor analysis
14.Interpretation of results
Required:
MOTULSKY, Harvey. Intuitive biostatistics: a nonmathematical guide to statistical thinking. 3rd ed. New York: Oxford University Press, 2014. ISBN 978-0-19-994664-8.
VU, Julie and David HARRINGTON. Introductory Statistics for the Life and Biomedical Sciences [online]. OpenIntro Inc., 2021. Available from: https://www.openintro.org/.
Recommended:
D'AGOSTINO, R. B., ed. Tutorials in biostatistics. Volume 1, Statistical methods in clinical studies [electronic source]. Hoboken: Wiley, 2005. ISBN 9780470023679.
D'AGOSTINO, R. B., ed. Tutorials in biostatistics. Volume 2, Statistical modelling of complex medical data [electronic source]. Hoboken: Wiley, 2005. ISBN 9780470023723.
RAYAT, Charan Singh. Statistical Methods in Medical Research [online]. Singapore: Springer Singapore, 2018. DOI: http://dx.doi.org/10.1007/978-981-13-0827-7. ISBN 9789811308277.
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MATLAB and Simulink Training: https://matlabacademy.mathworks.com/
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Plan of Lectures: https://harm.fbmi.cvut.cz/B231/F7AMBMPV/lec
Plan of Exercises: https://harm.fbmi.cvut.cz/B231/F7AMBMPV/tut