Main Content

Biostatistics and Clinical Epidemiology

Level of commitment:

interdisciplinary compulsory module as part of the Master's program in Human Biology (MSc)

Level step:

basic module

Date:

only in the winter semester

Specialization:

Master's program in Human Biology (Biomedical Science)

Type:

lecture and seminar

Formalities:

regular and successful participation in the seminars, passing the final exam

Basic principles of inferential statistics (point and range estimation of distribution parameters, statistical tests, sample size planning, multiple testing)
Parametric and nonparametric inferential statistical methods for one- and two-sample problems with dichotomous and metric measures
A selection of more complex statistical methods (survival time analysis, regression models)
Basics of clinical epidemiology (metrics for evaluating diagnostic markers, therapeutic measures and for quantifying health risks, and statistical estimation and testing procedures for this, methodology of analytical clinical-epidemiological studies)
Introduction to the R program package

Qualification goals:

Students should understand the basics and principles of statistical reasoning, be able to apply a selection of methods for statistical data analysis and study planning themselves, draw appropriate conclusions from the results of such statistical analyses and be able to formulate them. They should also be familiar with typical sources of systematic errors in analytical clinical studies and be able to use this knowledge to assess the validity of study results. They should be familiar with methods for avoiding systematic errors and be able to apply them when planning studies.