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Intensive Short Course: Advanced Epidemiologic Methods (Matt Fox)

  • Charité Campus Mitte 1 Charitéplatz Berlin, Berlin, 10117 Germany (map)


Matthew Fox, Professor in the Department of Global Health and Epidemiology at Boston University School of Public Health

Learning objectives:

By the end of this week, participants should be able to:

  • Use the sufficient cause model, counterfactual susceptibility type model, and a causal graph to assist with the design or analysis of an epidemiologic study.

  • Calculate adjusted measures of effect and select those that, when collapsible, correspond to the no-confounding condition. Use the adjusted measures of effect to estimate the direction and magnitude of confounding.

  • Distinguish effect measure modification, interdependence, and statistical interaction from one another as separate - but related - concepts of interaction.

  • Identify the likely magnitude and direction of bias due to misclassification of exposure, outcomes, confounders and modifiers. Weigh the advantages and disadvantages of significance testing.

  • Compare the advantages and disadvantages of frequentist and Bayesian approaches to analysis of a single study, to eveidence, and to changing your mind.


  • Basic knowledge of epidemiology and biostatistics


  • 750 €

  • 510 € for enrolled students (proof required)