causal inference 1empirical stratification 1post-treatment variables 1principal stratification 1treatment effect heterogeneity 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ME2026
Empirical stratification for predictive treatment effect heterogeneity with post-treatment variables
Chao Cheng, Rui Wang, Yichi Zhang
The paper proposes an empirical stratification method that uses baseline predictions of post‑treatment variables to define subgroups and estimate how treatment effects vary across…
stat.ME2026
Randomized interventional effects in semicompeting risks, with application to a hematopoietic cell transplantation study
Yuhao Deng, Rui Wang, Tao Zhang +1
In clinical studies, the risk of the primary (terminal) event may be modified by intermediate events, resulting in semicompeting risks. To study the treatment effect on the termina…
stat.ME2025
Adjusted Nelson--Aalen estimators by inverse treatment probability weighting with an estimated propensity score
Yuhao Deng, Rui Wang
Inverse probability of treatment weighting (IPW) has been well applied in causal inference to estimate population-level estimands from observational studies. For time-to-event outc…