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
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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