3 papers
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 +3
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.ME2025
Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
Hao Wu, Lucy Shao, Toni Gui +6
Doubly robust estimators (DRE) are widely used in causal inference because they yield consistent estimators of average causal effect when at least one of the nuisance models, the p…
stat.ME2025
Semiparametric Regression Models for Explanatory Variables with Missing Data due to Detection Limit
Jasen Zhang, Lucy Shao, Kun Yang +10
Detection limit (DL) has become an increasingly ubiquitous issue in statistical analyses of biomedical studies, such as cytokine, metabolite and protein analysis. In regression ana…