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 +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.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…
q-bio.GN2021
Modeling Homophily in Dynamic Networks with Application to HIV Molecular Surveillance
V. DeGruttola, M. Nakazawa, J. Liu +3
This paper describes a novel approach to modeling homphily, i.e. the tendency of nodes that share (or differ in) certain attributes to be linked; we consider dynamic networks in wh…