2023
Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity
Li F, Chen X, Tian Z, Wang R, Heagerty P. Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity. Statistics In Medicine 2023, 43: 890-911. PMID: 38115805, DOI: 10.1002/sim.9990.Peer-Reviewed Original ResearchTreatment effectsWedge designTreatment effect heterogeneityPatient subpopulationsLumbar imagingTreatment effect analysisWedge clusterWedge trialCandidate interventionsSubgroup treatment effectsCovariate adjustmentTrialsEffect heterogeneityAverage treatment effectRigorous evaluationFormal evaluationSample sizeResearch design
2021
swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials
Chen J, Zhou X, Li F, Spiegelman D. swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials. Computer Methods And Programs In Biomedicine 2021, 213: 106522. PMID: 34818620, PMCID: PMC8665077, DOI: 10.1016/j.cmpb.2021.106522.Peer-Reviewed Original ResearchConceptsWedge clusterIntracluster correlation coefficientContinuous outcomesCross-sectional cohortBinary outcomesExchangeable correlation structureWedge designPublic health intervention evaluationsHealth services researchClosed cohort designPower calculationCohort designClosed cohortStudy designIntracluster correlationIntervention evaluationNeeds of investigatorsOutcomesTrialsCohortServices researchInvestigatorsPrevious studiesSWD
2018
Optimal allocation of clusters in cohort stepped wedge designs
Li F, Turner E, Preisser J. Optimal allocation of clusters in cohort stepped wedge designs. Statistics & Probability Letters 2018, 137: 257-263. DOI: 10.1016/j.spl.2018.02.002.Peer-Reviewed Original ResearchWedge cluster