Causal Inference in Epidemiology

3.0 credits

This is an intensive, mid-to-advanced level course that provides an in-depth treatment of causal inference conceptualization in epidemiologic studies, including critical thinking/interpretation of study design and statistical analysis, as well as the application of quantitative methods to approach causal inference in epidemiologic studies. Emphases will be placed on cultivating critical thinking in causal inference regarding exposure-outcome relationships in the contexts of bias, confounding, interaction, and missing data. Throughout the course, hands-on skills will be taught to address the discussed concepts in class through lectures, discussion, presentation, group/individual projects. Prerequisites: PM416; PM469; BST463 or PM401 or equivalent; or permission by course instructor