2025
Permutation tests for detecting treatment effect heterogeneity in cluster randomized trials
Maleyeff L, Li F, Haneuse S, Wang R. Permutation tests for detecting treatment effect heterogeneity in cluster randomized trials. Statistical Methods In Medical Research 2025, 34: 1617-1632. PMID: 40525570, PMCID: PMC12365356, DOI: 10.1177/09622802251348999.Peer-Reviewed Original ResearchCluster randomized trialDetect treatment effect heterogeneityTreatment effect heterogeneityEffect heterogeneityNominal type I error rateRandomized trialsType I error rateTreatment-covariate interactionsAssess treatment effect heterogeneityTests of interaction termsPermutation testAverage treatment effectPain programEvaluation of intervention strategiesParametric assumptionsEffect modificationHealthcare ResearchActive copingSimulation studyTreatment effectsIntervention strategiesTrial contextPermutationInteraction termsTrials
2024
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs
Moyer J, Li F, Cook A, Heagerty P, Pals S, Turner E, Wang R, Zhou Y, Yu Q, Wang X, Murray D. Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs. Statistics In Medicine 2024, 43: 4796-4818. PMID: 39225281, DOI: 10.1002/sim.10206.Peer-Reviewed Original ResearchGroup treatmentRandomized group treatment trialsTreatment trialsDeliver treatmentNominal type I error rateData generating mechanismRating inflationType I error rateMultiple membershipsType I error rate inflationParticipantsAgent settingMultiple agentsOutcome measuresSingle agent settingTrial armsSimulation studyStudy designTherapistsStudy armsEvaluate analytical modelsContinuous outcomes
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