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 comparisonsVarianceAssociation of Baseline Hepatitis B Virus DNA and On-Treatment Risk of Cirrhosis and Hepatocellular Carcinoma
Yang Z, Cheung R, Jou J, Lim J, Lim Y, Wong R. Association of Baseline Hepatitis B Virus DNA and On-Treatment Risk of Cirrhosis and Hepatocellular Carcinoma. Gastroenterology Research 2024, 17: 109-115. PMID: 38993547, PMCID: PMC11236339, DOI: 10.14740/gr1735.Peer-Reviewed Original ResearchBaseline HBV DNARisk of hepatocellular carcinomaChronic hepatitis BRisk of cirrhosisNon-cirrhotic chronic hepatitis BHepatitis B virus DNAHBV DNAHepatocellular carcinomaHepatitis B virusCHB patientsPropensity score weightingAntiviral therapyAssociated with higher risk of hepatocellular carcinomaHigh risk of hepatocellular carcinomaNon-cirrhotic CHB patientsCohort of CHB patientsLevels of hepatitis B virusContinuous antiviral therapyHigh HBV DNANon-Asian cohortModerate levelsAssociated with higher riskScore weightingB virus DNACox proportional hazards modelsPropensity score weighted multi‐source exchangeability models for incorporating external control data in randomized clinical trials
Wei W, Zhang Y, Roychoudhury S, Initiative T. Propensity score weighted multi‐source exchangeability models for incorporating external control data in randomized clinical trials. Statistics In Medicine 2024, 43: 3815-3829. PMID: 38924575, DOI: 10.1002/sim.10158.Peer-Reviewed Original ResearchEnrollment in High-Deductible Health Plans and Incident Diabetes Complications
McCoy R, Swarna K, Jiang D, Van Houten H, Chen J, Davis E, Herrin J. Enrollment in High-Deductible Health Plans and Incident Diabetes Complications. JAMA Network Open 2024, 7: e243394. PMID: 38517436, PMCID: PMC10960199, DOI: 10.1001/jamanetworkopen.2024.3394.Peer-Reviewed Original ResearchConceptsHigh-deductible health plansHealth plansChronic disease managementOdds of myocardial infarctionLower-extremity complicationsMixed-effects logistic regression modelsOut-of-pocket costsAssociated with increased oddsDiabetic complicationsInverse propensity score weightingLogistic regression modelsCardiovascular risk factorsEmployer-sponsored health plansDiabetes careRetrospective cohort studyUS adultsPropensity score weightingPotential selection biasMain OutcomesCohort studyBaseline yearIncident complicationsDisease managementMixed-effectsPotential harm
2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Yang S, Li F, Thomas L, Li F. Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials 2021, 18: 570-581. PMID: 34269087, DOI: 10.1177/17407745211028588.Peer-Reviewed Original ResearchConceptsPropensity score weighting estimatorChance imbalanceAnalysis of randomized clinical trialsAnalysis of covariance estimatorSubgroup analyses of randomized clinical trialsCovariate adjustmentWeight estimationControlled Trial Investigating Outcomes of Exercise Training trialPropensity score weighting methodologyHeterogeneous treatment effectsRandomized clinical trialsCovariance estimationPropensity score modelPropensity modelAnalysis of covariancePropensity score weightingSubgroup sample sizeSubgroup analysisEffects of exercise trainingExercise training trialsOutcome modelScore weightingEvidence of heterogeneous treatment effectsCovariatesUnadjusted estimates
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