6 papers
Making censored pairs count: conditional tie weighting for win statistics with composite survival endpoints
Xi Fang, Fan Li
Hierarchical composite endpoints are increasingly used in clinical trials to compare patients first on the most clinically important outcome and then, only when that comparison is…
Asymptotic theory of rerandomization for survival analysis
Xinyuan Chen, Fan Li
Rerandomization systematically reduces chance imbalance and can improve the efficiency of the average treatment effect estimator in randomized experiments. While the asymptotic pro…
Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
Kenneth M. Lee, Fan Li
This article investigates the model-robustness of fixed-effects models for analyzing a broad class of longitudinal cluster trials (CTs) such as stepped-wedge, parallel-with-baselin…
Generalized win fraction regression for composite survival endpoints
Zhiqiang Cao, Xi Fang, Fan Li
We propose a generalized win fraction regression framework for prioritized composite survival outcomes. The framework models the conditional win fraction through a chosen link func…
Sample size determination for win statistics in cluster-randomized trials
Xi Fang, Zhiqiang Cao, Fan Li
Composite endpoints are increasingly used in clinical trials to capture treatment effects across multiple or hierarchically ordered outcomes. Although inference procedures based on…
While-alive regression analysis of composite survival endpoints
Xi Fang, Hajime Uno, Fan Li
Composite endpoints, which combine two or more distinct outcomes, are frequently used in clinical trials to enhance the event rate and improve the statistical power. In the recent…