2023
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome
Yu Y, Zhang M, Mukherjee B. An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome. Statistics In Medicine 2023, 42: 3699-3715. PMID: 37392070, DOI: 10.1002/sim.9826.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationHumansMaleModels, StatisticalProbabilityPropensity ScoreProstatic NeoplasmsRegression AnalysisTreatment OutcomeConceptsRight censoringWeighted score functionCausal treatment effectsAverage treatment effectAsymptotic propertiesCensored componentPre-specified time windowEstimation consistencyRobustness propertiesSimulation studyBinary outcomesPresence of confoundersCensoringScoring functionInverse probabilityTreatment effectsEstimationSources of biasInferenceLetter CComparative effectiveness researchTreatment switchRegression methodLogistic regression modelsInsurance claims database
2021
A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome
Yu Y, Zhang M, Shi X, Caram M, Little R, Mukherjee B. A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome. Statistics In Medicine 2021, 40: 1653-1677. PMID: 33462862, DOI: 10.1002/sim.8862.Peer-Reviewed Original ResearchMeSH KeywordsBiasCausalityComparative Effectiveness ResearchComputer SimulationHumansMaleModels, StatisticalPropensity ScoreConceptsComparative effectiveness researchEstimation of causal effectsPropensity score-based methodsBinary outcomesInsurance networksCausal effectsPropensity score methodsPropensity-based methodsConfounding biasContinuous outcomesPharmacy claimsEffectiveness researchObservational studySimulation studyAdverse outcomesPropensity scoreEmergency room
2013
Propensity score‐based diagnostics for categorical response regression models
Boonstra P, Bondarenko I, Park S, Vokonas P, Mukherjee B. Propensity score‐based diagnostics for categorical response regression models. Statistics In Medicine 2013, 33: 455-469. PMID: 23934948, PMCID: PMC3911784, DOI: 10.1002/sim.5940.Peer-Reviewed Original ResearchConceptsRetrospective sampling designsChi-square distributionCategorical response modelsGoodness-of-fit statisticsPredicted response probabilitiesResponse regression modelsConditional distributionProportional odds modelAssess model adequacyData examplesSimulation studyVA Normative Aging StudyNormative Aging StudyPropensity scoreCumulative lead exposureOdds modelModel diagnosticsCase-control studyAssociated with diabetesBalance scoresResponse probabilityModel adequacyCohort studyAging StudyNumerical summaries