2022
Design and analysis of partially randomized preference trials with propensity score stratification
Wang Y, Li F, Blaha O, Meng C, Esserman D. Design and analysis of partially randomized preference trials with propensity score stratification. Statistical Methods In Medical Research 2022, 31: 1515-1537. PMID: 35469503, PMCID: PMC10530658, DOI: 10.1177/09622802221095673.Peer-Reviewed Original Research
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
2020
Propensity score weighting for covariate adjustment in randomized clinical trials
Zeng S, Li F, Wang R, Li F. Propensity score weighting for covariate adjustment in randomized clinical trials. Statistics In Medicine 2020, 40: 842-858. PMID: 33174296, DOI: 10.1002/sim.8805.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationHumansLogistic ModelsPropensity ScoreRandomized Controlled Trials as TopicResearch Design
2018
Addressing Extreme Propensity Scores via the Overlap Weights
Li F, Thomas L, Li F. Addressing Extreme Propensity Scores via the Overlap Weights. American Journal Of Epidemiology 2018, 188: 250-257. PMID: 30189042, DOI: 10.1093/aje/kwy201.Peer-Reviewed Original ResearchConceptsPropensity score distributionInverse probability weighting methodConfidence interval coverageOverlap weightingProbability weighting methodTreatment effect estimatesPropensity scoreInterval coverageScore distributionEffect estimatesTarget populationOverlap weighting methodExcess varianceInverse probabilityCutoff pointStandard error
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