2024
Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance
Yang H, Qin Y, Li Y, Hu F. Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance. Biometrics 2024, 80: ujae047. PMID: 38801258, DOI: 10.1093/biomtc/ujae047.Peer-Reviewed Original ResearchConceptsCovariate balanceMarginal imbalanceAdaptive randomization methodsTreatment effect estimatesSequential allocation schemeModified Mahalanobis distanceRandomization methodSimulation studyCovariate imbalanceRandom processTheoretical guaranteesCovariatesImbalance measureEffect estimatesMahalanobis distanceCurrent patientSample size differencesMarginal balanceAllocation schemeConvergenceData analysisSuperior performance
2023
Balancing covariates in multi-arm trials via adaptive randomization
Yang H, Qin Y, Wang F, Li Y, Hu F. Balancing covariates in multi-arm trials via adaptive randomization. Computational Statistics & Data Analysis 2023, 179: 107642. DOI: 10.1016/j.csda.2022.107642.Peer-Reviewed Original Research
2021
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates
Li Y, Ma W, Qin Y, Hu F. Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates. Statistical Methods In Medical Research 2021, 30: 2148-2164. PMID: 33899607, DOI: 10.1177/09622802211008206.Peer-Reviewed Original ResearchConceptsCovariate-adaptive randomizationCovariate-adaptive randomization methodsCovariate-adaptive randomized trialsValidity of statistical inferenceInflated type I errorLinear modelType I errorGeneralized linear modelAsymptotic distributionProposed adjustment methodAsymptotic resultsInferential propertiesTest statisticsAnti-conservativeStatistical inferenceContinuous responseUnadjusted testsNull hypothesisTheoretical findingsTreatment effectsInvalid testsRandomization methodNumerical studyCovariatesAdjustment method
2019
Statistical Inference for Covariate-Adaptive Randomization Procedures
Ma W, Qin Y, Li Y, Hu F. Statistical Inference for Covariate-Adaptive Randomization Procedures. Journal Of The American Statistical Association 2019, 115: 1488-1497. DOI: 10.1080/01621459.2019.1635483.Peer-Reviewed Original ResearchCovariate-adaptive randomizationCovariate-adaptiveCovariate-adaptive randomization proceduresProperties of statistical methodsTheoretical resultsRandomization procedureLinear model frameworkAsymptotic representationCoin designTheoretical propertiesStatistical inferenceCovariate informationSimulation studySequential randomizationCovariate balanceInference propertiesSupplementary materialsComplete randomizationGeneral theoryBalanced treatment groupsCovariatesInferenceStatistical methodsRerandomizationRandomization