Advanced Methods for Global Health III

4 credits

Focuses on applying advanced non-randomized methods to quantitatively evaluate global health implementation science questions, including a specific focus on applying difference-in-differences, interrupted time-series, and regression discontinuity designs. Assumes prior knowledge of generalized linear models and modern methods to analyze correlated data, including generalized estimating equations (GEE) and random-effects models. Prerequisite: either BIOST 540, CS&SS 560/SOC 560/STAT 560, or permission of instructor; recommended: EPI 512 and EPI 513. Offered: jointly with BIOST 525/EPI 556/G H 537; Sp.