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stat.ME2026
Win-Ratio Regression for Prioritized Composite Outcomes in Observational Studies: Doubly Robust and Efficient Estimation with Future-Score Correction
Zhuochao Huang, Lucy Shao, Yi Guo +4
Prioritized pairwise outcomes are useful when clinical events follow a natural hierarchy, but censoring before pair resolution complicates estimation. We develop a win-ratio regres…
stat.ME2026
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
Zhuochao Huang, Kejin Dong, Tuo Lin +1
Evaluating the causal health effects of multivariate, continuous exposures, such as air pollution mixtures, is a critical public health challenge. A primary obstacle is the frequen…
stat.ME2026
Surrogate-Assisted Estimation of Exposure-Time Effects in Stepped-Wedge Trials with Administratively Censored Outcomes
Lin Li, Tuo Lin, Yiwen Chen +1
In stepped-wedge trials, effects often change with the time since a cluster crossed over, and a delayed primary outcome is administratively censored for clusters that cross over la…