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ADVANCED EPIDEMIOLOGY.
cover familiar epidemiological concepts like bias, confounding, and other systematic errors, but will go into more details with a focus on how and why the validity of results might be endangered. The use of Directed Acyclic Graphs for identifying sets of covariates necessary for robust adjustment of models will be introduced.
The identification and interpretation of interaction/effect modification will be covered with the aim of describing how subgroups might behave differently. cover more recent developments in epidemiology, by introducing causal inference from observational studies using counterfactual models and propensity scores, mediation analyses and the use of instrumental variables.
Louis Beck
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Mark Delgado
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Amber Mendez
I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let your users know a little more about you.