Assess graduate students' ability to apply difference-in-differences, synthetic control, and instrumental variable methods to estimate causal effects of public-health interventions using observational data. Expect selection of appropriate design, clear statement of identification assumptions, model specification, implementation of robustness/placebo checks, handling of heterogeneity and data requirements, interpretation of estimates, and critique of limitations and policy relevance.