3 papers
stat.ML2026
A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation
Yuan Feng, Shiyu Shu, Yixin Fang +4
We developed a unified covariate-adjusted causal inference framework for estimating the desirability of outcome ranking (DOOR) probability for benefit-risk evaluation in randomized…
stat.ME2026
Doubly Robust Estimation of Desirability of Outcome Ranking (DOOR) Probability with Application to MDRO Studies
Shiyu Shu, Toshimitsu Hamasaki, Scott Evans +3
In observational studies, adjusting for confounders is required if a treatment comparison is planned. A crude comparison of the primary endpoint without covariate adjustment will s…
stat.ME2025
Desirability of outcome ranking (DOOR) analysis for multivariate survival outcomes with application to ACTT-1 trial
Shiyu Shu, Guoqing Diao, Toshimitsu Hamasaki +1
Desirability Of Outcome Ranking (DOOR) methodology accounts for problems that conventional benefit:risk analyses in clinical trials ignore, such as competing risks and the trade-of…