2024
Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
Cao Z, Ghazi L, Mastrogiacomo C, Forastiere L, Wilson F, Li F. Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times. American Journal Of Epidemiology 2024, kwae416. PMID: 39489504, DOI: 10.1093/aje/kwae416.Peer-Reviewed Original ResearchInverse probability of censoring weightingProbability of censoring weightingOverlap weightingCensoring processVariance estimationInterval coverageInverse probability of treatment weightingTarget estimandInverse probabilityBinary outcomesPropensity scoreRMSTProbability of treatment weightingPropensity score weightingEstimationEstimandsLogistic regressionTreatment comparisonsVariance
2014
Dialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study
Wilson FP, Yang W, Machado CA, Mariani LH, Borovskiy Y, Berns JS, Feldman HI. Dialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study. Clinical Journal Of The American Society Of Nephrology 2014, 9: 673-681. PMID: 24651073, PMCID: PMC3974360, DOI: 10.2215/cjn.07630713.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultAgedBiomarkersCreatinineFemaleHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPatient SelectionPennsylvaniaPropensity ScoreProportional Hazards ModelsRenal DialysisRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsTreatment OutcomeConceptsInitiation of dialysisSerum creatinine concentrationCreatinine concentrationDialysis initiationDialyzed patientsSevere AKICohort studyPropensity-matched cohort studyPropensity scoreElevated creatinine levelOverall hazard ratioGreater survival benefitProportional hazards analysisAcute care hospitalsTime-varying propensity scoresPennsylvania Health SystemCause mortalityCreatinine levelsHazard ratioSurvival benefitCare hospitalDL increaseNondialyzed patientsPatient factorsLaboratory variables