2024
Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Chen X, Li F. Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments. Scandinavian Journal Of Statistics 2024, 52: 416-446. DOI: 10.1111/sjos.12755.Peer-Reviewed Original ResearchCluster-randomized experimentANCOVA estimatesFinite population central limit theoremAnalysis of covariance estimatorCentral limit theoremLimit theoremPotential outcomes frameworkCovariance estimationRandomized experimentTarget estimandEstimandsRandomization schemeCovariate adjustmentEstimationTheoremData structureOutcomes frameworkMultilevel data structureCovariatesRobust methodClass
2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Yang S, Li F, Thomas L, Li F. Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials 2021, 18: 570-581. PMID: 34269087, DOI: 10.1177/17407745211028588.Peer-Reviewed Original ResearchConceptsPropensity score weighting estimatorChance imbalanceAnalysis of randomized clinical trialsAnalysis of covariance estimatorSubgroup analyses of randomized clinical trialsCovariate adjustmentWeight estimationControlled Trial Investigating Outcomes of Exercise Training trialPropensity score weighting methodologyHeterogeneous treatment effectsRandomized clinical trialsCovariance estimationPropensity score modelPropensity modelAnalysis of covariancePropensity score weightingSubgroup sample sizeSubgroup analysisEffects of exercise trainingExercise training trialsOutcome modelScore weightingEvidence of heterogeneous treatment effectsCovariatesUnadjusted estimates
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