3 papers
stat.ME2026
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…
stat.ME2026
Who's Winning? Clarifying Estimands Based on Win Statistics in Cluster Randomized Trials
Kenneth M. Lee, Xi Fang, Fan Li +1
Treatment effect estimands based on win statistics, including the win ratio, win odds, and win difference are increasingly popular targets for summarizing endpoints in clinical tri…
stat.ME2025
What is estimated in cluster randomized crossover trials with informative sizes? -- A survey of estimands and common estimators
Kenneth M. Lee, Andrew B. Forbes, Jessica Kasza +5
In the analysis of cluster randomized trials (CRTs), previous work has defined two meaningful estimands: the individual-average treatment effect (iATE) and cluster-average treatmen…