2 papers
stat.ME2026
Estimating the Average Treatment Effect under Limited Overlap via Polynomial Approximation and Extrapolation
Shunichiro Orihara, Sho Komukai, Fan Li
Estimating the average treatment effect (ATE) remains a fundamental challenge in observational studies in the presence of poor or limited covariate overlap. Although the inverse pr…
stat.ME2026
Data-Adaptive Integration with External Summary Data for Outcome Mean Estimation
Kosuke Morikawa, Sho Komukai, Satoshi Hattori
Combining an internal individual-level study with readily available external summary statistics promises major efficiency gains at minimal additional cost, yet heterogeneity betwee…