Lecturers: Rolf H.H. Groenwold, MD, PhD, Leiden University Medical Center (NL) &
Maarten van Smeden, PhD, Leiden University Medical Center (NL)
By the end of this week, participants should be able to:
- Critically assess the results of epidemiological studies on causal relationships or prediction models
- Correctly define exposures and learn how to best represent them in models
- Understand difference between various sources of bias (confounding, measurement error and missing data) and the way these biases may differentially affect studies on causal relationships and prediction models.
- Describe key assumptions of methods used to control for (time-varying) confounding.
- Describe key assumptions of methods used to handle missing observations.
- Understand the reasons for and consequences of overfitting prediction models
- Describe recent developments in the fields of causal research and prediction modelling
- Basic knowledge of epidemiology
- Familiarity with R statistical software (for a short introduction see http://www.r-tutorial.nl/)
- 750 €
- 510 € for enrolled students (proof required)
Tanja Te Gude
Tel. +49 30 450 570 812