New methods based on U-statistics and influence functions extend DOOR endpoints to cluster randomized trials for within- and between-cluster treatment effect estimation.
An Evaluation of Weighted Chi-Square Statistics for Clustered Binary Data
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The authors develop and benchmark inference methods for win statistics in cluster-randomized trials with composite endpoints, filling a gap in handling within-cluster dependence.
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On Cluster Randomized Trials with the Desirability of Outcome Ranking (DOOR) Endpoints
New methods based on U-statistics and influence functions extend DOOR endpoints to cluster randomized trials for within- and between-cluster treatment effect estimation.
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Statistical inference with win statistics in cluster-randomized trials with composite outcomes
The authors develop and benchmark inference methods for win statistics in cluster-randomized trials with composite endpoints, filling a gap in handling within-cluster dependence.