This course introduces basic and advanced theory underlying propensity score analyses and provides practical insights into the conduct of studies employing the method. Course readings will include propensity score theory as well as applications. Lectures are complemented by computer lab sessions devoted to the mechanics of estimating and using the propensity score as a tool to control for confounding in observational research. Students should have knowledge in multivariable modeling approaches. A course project will involve the application of propensity scores to a data set or the review of a related, published paper.Course Activities: Lectures, readings, homeworks, computer labs, participation, project. HSPH Course Prerequisite(s): EPI204 or EPI236 or EPI 522 or BST210 or BST213; may not be taken concurrently.
HSPH Prerequisite: EPI204 or EPI236 or EPI 522 or BST210 or BST213; may not be taken concurrently. Students outside of HSPH must request instructor permission to enroll in this course