This is an advanced epidemiology methods course with emphasis on causal inference. Topics covered include causal inference in observational studies, causal diagrams, effect modification, interaction, selection and measurement bias in causal modelling, propensity score analysis, inverse probability weighting and marginal structural models, standardization and the parametric g-formula, instrumental variable estimation, and mediation analysis. The overall goal of this course is to provide an und...
This is an advanced epidemiology methods course with emphasis on causal inference. Topics covered include causal inference in observational studies, causal diagrams, effect modification, interaction, selection and measurement bias in causal modelling, propensity score analysis, inverse probability weighting and marginal structural models, standardization and the parametric g-formula, instrumental variable estimation, and mediation analysis. The overall goal of this course is to provide an und...
