Causal Inference

4.0 credits

Statistical methods for the design and analysis of observational studies; potential outcomes framework for causal inference; randomized experiments; matching, propensity score and regression methods for controlling confounding in observational studies; tests of hidden bias; sensitivity analysis; instrumental variables. Prerequisites: BST 401, BST 411, and BST 412