2 papers
stat.ME2026
Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
Rikuta Hamaya, Etsuji Suzuki, Konan Hara
Estimating conditional average treatment effects (CATE) from randomized controlled trials (RCTs) and generalizing them to broader populations is essential for personalizing treatme…
stat.ME2026
Truncation by death in the sufficient cause framework
Bronner P. Gonçalves, Eiji Yamamoto, Etsuji Suzuki
The sufficient cause framework has been used for decades to improve our understanding of both basic and more complex causal concepts in epidemiology, such as mediation and interact…