COMPSS 222

Applied Statistics II

3 credits · Graduate

This course continues with the development of applied statistical methods appropriate for program evaluation and social science research initiated in COMPSS 212: Applied Statistics I. Topics may include the design of randomized control trials (RCTs), logistic regression, the Bayesian bootstrap, average treatment effect (ATE) estimation under unconfoundedness, local average treatment effects (LATE) and the method of instrumental variables, regression discontinuity design (RDD), quantile regression and discrete hazard analysis. Instruction will involve a mix of theory, illustration and application.

Prerequisites & course information

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Sources

Course catalogue ↗2026-2027