2 papers
stat.ME2026
Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
Nodoka Seya, Masataka Taguri, Takeo Ishii
Inverse probability (IP) weighting of marginal structural models (MSMs) can provide consistent estimators of time-varying treatment effects under correct model specifications and i…
stat.ME2024
Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models
Shunichiro Orihara, Shonosuke Sugasawa, Tomohiro Ohigashi +2
In observational studies, unmeasured confounders present a crucial challenge in accurately estimating desired causal effects. To calculate the hazard ratio (HR) in Cox proportional…