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stat.ME2025
Estimating treatment effects with a unified semi-parametric difference-in-differences approach
Julia C. Thome, Andrew J. Spieker, Peter F. Rebeiro +3
Difference-in-differences (DID) approaches are widely used for estimating causal effects with observational data before and after an intervention. DID traditionally estimates the a…
stat.ME2024
Understanding Difference-in-differences methods to evaluate policy effects with staggered adoption: an application to Medicaid and HIV
Julia C. Thome, Peter F. Rebeiro, Andrew J. Spieker +1
While a randomized control trial is considered the gold standard for estimating causal treatment effects, there are many research settings in which randomization is infeasible or u…