"This course gives a deeper insight of those elements of probability theory and statistics which are necessary for the understanding of meta-analysis and registry analysis. We discuss descriptive statistics and the logic of inferential statistics, point and interval estimates, Popper's theory of falsification. We conceptually introduce the hypothesis tests, significance, p-value, and error types. We cover parametric and nonparametric tests, the basics if multivariate analysis and diganostic tests. a. Why to learn statistics? b. Probabilities I-II. c. Risks, Odds, Ratios d. Random variables e. Basic concepts f. Data types g. Descriptive statistics h. Estimation i. Hypothesis testing j. Tests of means and variances k. Nonparametric tests l. Analysis of qualitative data m. Correlation analysis n. Regression analysis o. Survival analysis p. Diagnostic tests"
Students will be registered on the CTM MOODLE platform: https://elearning.tm-centre.org/edu
