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Advanced Epidemiologic Methods – causal research and prediction modeling

  • Charité Campus Virchow-Klinikum Weststraße 13353 Berlin Germany (map)

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


  • 750 €

  • 510 € for enrolled students (proof required)


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

Later Event: October 17
IPH-Lecture (Maria Glymour)