Veranstaltung

20.08.2018 bis 24.08.2018

Advanced Epidemiologic Methods: Causal Research and prediction modelling

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Ausschließlich für Fachpublikum

Intensive Short Course

Learning objectives of this intensive short course

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

Organisatorisches

Referenten:

Rolf H.H. Groenwold, Leiden University Medical Center (NL)
Maarten van Smeden, Leiden University Medical Center (NL)

Veranstalter:

Berlin School of Public Health / Institut für Public Health

Ort:

wird noch festgelegt

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