Advanced Epidemiologic Methods -LAB
EPI 207LAB
Subject & Catalog Number
Course Information
Description
Provides an in-depth investigation of statistical methods for drawing causal inferences from observational studies. Informal epidemiologic concepts such as confounding, selection bias, overall effects, direct effects, and intermediate variables will be formally defined within the context of a counterfactual causal model and with the help of causal diagrams. Methods for the analysis of the causal effects of time-varying exposures in the presence of time dependent covariates that are simultaneously confounders and intermediate variables will be emphasized. These methods include g-computation algorithm estimators, inverse probability weighted estimators of marginal structural models, g-estimation of structural nested models. As a practicum, students will reanalyze data sets using the above methods.
Course Activities: Class discussion, homework, practicum and final examination.
Class Note: Students are required to enroll in both EPI 207 and EPI 207 LAB.
To enroll in a section of EPI 207 LAB, students must first enroll in EPI 207.
Class Notes
Students are required to enroll in both EPI 207 and EPI 207LAB.
To enroll in a section of EPI 207LAB, students must first enroll in EPI 207.
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