2025
Model‐Robust Standardization in Cluster‐Randomized Trials
Li F, Tong J, Fang X, Cheng C, Kahan B, Wang B. Model‐Robust Standardization in Cluster‐Randomized Trials. Statistics In Medicine 2025, 44: e70270. PMID: 40968363, DOI: 10.1002/sim.70270.Peer-Reviewed Original ResearchConceptsInformative cluster sizeWorking regression modelsJackknife variance estimatorTreatment effect parametersCluster randomized trialData generating processAverage treatment effectVariance estimationCoefficient estimatesGeneralized linear mixed modelsEstimandsR packageNatural testCluster averagesLinear mixed modelsEstimationTreatment effectsExtensive simulation experimentsCluster sizeInferenceRegression modelsGeneralized Estimating EquationsGeneration processMixed modelsEquations
2024
Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Experiments
Wang B, Park C, Small D, Li F. Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Experiments. Journal Of The American Statistical Association 2024, 119: 2959-2971. PMID: 39911293, PMCID: PMC11795269, DOI: 10.1080/01621459.2023.2289693.Peer-Reviewed Original ResearchCluster-randomized experimentCluster size variationNuisance functionsParametric working modelsFlexible covariate adjustmentCovariate-adjusted estimatesCovariate adjustment methodsCovariate adjustmentModel-based covariate adjustmentEfficient estimationSimulation studyRobust inferenceSupplementary materialsEstimandsEstimating EquationsModel-based estimatesG-computationCluster averagesEstimationTreatment assignmentRoutine practice conditionsRisk of biasEquationsTreatment effectsCovariates
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