2024
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
Blette B, Halpern S, Li F, Harhay M. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical Methods In Medical Research 2024, 33: 909-927. PMID: 38567439, PMCID: PMC11041086, DOI: 10.1177/09622802241242323.Peer-Reviewed Original ResearchConceptsMultilevel multiple imputationHeterogeneous treatment effectsCluster randomized trialPotential effect modifiersMultiple imputationAssess treatment effect heterogeneityEffect modifiersTreatment effect heterogeneityComplete-case analysisMissingness mechanismIntracluster correlationSimulation studyUnder-coverageRandomized trialsEffect heterogeneityHealth StudyTreatment effectsContinuous outcomesClinical practiceImputationModel specificationMissingnessData methodsModified dataTrials
2023
Group sequential two‐stage preference designs
Liu R, Li F, Esserman D, Ryan M. Group sequential two‐stage preference designs. Statistics In Medicine 2023, 43: 315-341. PMID: 38010193, DOI: 10.1002/sim.9962.Peer-Reviewed Original Research
2021
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial. The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic health record alertsKidney injuryPrimary outcomeMedical recordsYale New Haven Health SystemCare practicesGlobal Outcomes creatinine criteriaLarge tertiary care centerComposite of progressionDays of randomizationReceipt of dialysisPrespecified secondary outcomesTertiary care centerPatients' medical recordsSmall community hospitalNon-teaching hospitalsElectronic health recordsCreatinine criteriaUsual careSecondary outcomesAdult inpatientsKidney diseaseClinical centersWorse outcomes
2018
Power and sample size requirements for GEE analyses of cluster randomized crossover trials
Li F, Forbes AB, Turner EL, Preisser JS. Power and sample size requirements for GEE analyses of cluster randomized crossover trials. Statistics In Medicine 2018, 38: 636-649. PMID: 30298551, PMCID: PMC6461037, DOI: 10.1002/sim.7995.Peer-Reviewed Original Research