Clinical Epidemiology II: Defining and Measuring Endpoints for Clinical Studies and Advanced Statistical methods
In the Clinical Epidemiology II course students become familiar with:
the concepts of clinically relevant and surrogate endpoints,
the meaning of scores in clinical research, and
the role of scores of measures in human functioning and their applications in various medical areas.
Moreover, students learn about the application of Cox Regression for individual prognosis and modern regression methods for modelling of clinical issues, application of Bayesian methods and modelling of longitudinal and clustered data.
Prerequisites: Basic knowledge in epidemiology
Type of examination: Written exam
Course coordinator: Prof. Dr. Eva Hoster
When: Winter Semester 17.3.-31.3.2021
If you are interested, you can register with a form that you will receive from the Ph.D. program office: email@example.com
Detailed information about the courses can be obtained from the MSc team: firstname.lastname@example.org