17th March 2025, Berlin, Germany.
This course covers key concepts in epidemiology, including measures of disease frequency, study designs, and assessing causality through the analysis of random error, bias, confounding, and reverse causality. It also teaches advanced techniques in data management and stratified analysis using STATA software to explore interaction effects and refine causal inferences.
The course uses participatory learning, based on interactive lectures, guided practical exercises with or without computers, a supervised data analysis exercise with report writing, self-directed independent learning, revision and Q&A, and a written exam including discussion of the exam...read more
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