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 modelsEquationsAddressing selection bias in cluster randomized experiments via weighting
Papadogeorgou G, Liu B, Li F, Li F. Addressing selection bias in cluster randomized experiments via weighting. Biometrics 2025, 81: ujaf013. PMID: 40052595, DOI: 10.1093/biomtc/ujaf013.Peer-Reviewed Original ResearchConceptsCluster-randomized experimentCluster randomized trialAverage treatment effectSelection biasInverse probability weightingOverall populationTreatment effectsCo-paymentControl armRecruited populationProbability weightingRandomized experimentRandomized trialsPopulationEstimation strategyTreatment assignmentIndividualsRecruitment assumptionR packageOverallAnalysis approachInterventionRecruitment
2023
ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals
Meng C, Ryan M, Rathouz P, Turner E, Preisser J, Li F. ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals. Computer Methods And Programs In Biomedicine 2023, 237: 107567. PMID: 37207384, DOI: 10.1016/j.cmpb.2023.107567.Peer-Reviewed Original ResearchConceptsOrdinal outcomesSandwich estimatorR packageSimulation studyCorrelated ordinal dataFinite sample biasesNumber of clustersCovariance estimationMarginal modelsEquationsParameter estimatesOrdinal responsesAssociation parametersCluster associationsBias correctionOrdinal dataEstimatorEstimating EquationsNominal levelMarginal meansResidualsEstimationPairwise odds ratiosAssociation modelGEE model
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