Entry requirements: Basic knowledge of probability theory, statistics and programming
Language of the course: English
Strong knowledge and understanding of moderns statistical methods for application in medical trials and in medical data analysis.
The course will explain statistical techniques for the evaluation of biomedical data. It provides an introduction into design aspects, methods of summarizing and presenting data, estimation, confidence intervals and hypothesis testing, including multivariable regression methods for the assessment of association. Although the course focusses somewhat on methods and examples from clinical research, it should be useful for experimental researchers as well. The emphasis will be on practical application and interpretation rather than theory.
Lectures and lab sessions
Grading: 70% lab assignments, 30% course project.