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

Prerequisites:

• Basic knowledge of epidemiology

• Familiarity with R statistical software (for a short introduction see http://www.r-tutorial.nl/)

Fees:

• 750 €

• 510 € for enrolled students (proof required)

3 ECTS

Registration Information:
Tanja Te Gude
Tel. +49 30 450 570 812