2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
On a fundamental problem in the analysis of cancer registry data
Sho Komukai, Satoshi Hattori, Bernard Rachet
In epidemiology research with cancer registry data, it is often of primary interest to make inference on cancer death, not overall survival. Since cause of death is not easy to col…
Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis
Ao Huang, Sho Komukai, Tim Friede +1
Prospective registration of study protocols in clinical trial registries is a useful way to minimize the risk of publication bias in meta-analysis, and several clinical trial regis…