Featured Publications
A meta-inference framework to integrate multiple external models into a current study.
Gu T, Taylor J, Mukherjee B. A meta-inference framework to integrate multiple external models into a current study. Biostatistics 2021, 24: 406-424. PMID: 34269371, PMCID: PMC10102901, DOI: 10.1093/biostatistics/kxab017.Peer-Reviewed Original ResearchConceptsAccuracy of statistical inferenceEmpirical Bayes estimatorsSummary-level informationBias-variance trade-offRelevant external informationBayes estimatorsStatistical inferenceExternal informationExternal estimatesNaive analysisNaive combinationInternational dataWeight estimationExternal modelMeta-analysis frameworkIndividual-level dataEfficiency gainsEstimationInfluence of informationTrade-offsInformationFramework
2019
Synthetic data method to incorporate external information into a current study
Gu T, Taylor J, Cheng W, Mukherjee B. Synthetic data method to incorporate external information into a current study. Canadian Journal Of Statistics 2019, 47: 580-603. PMID: 32773922, PMCID: PMC7410329, DOI: 10.1002/cjs.11513.Peer-Reviewed Original ResearchSynthetic data methodsDataset of sizeSynthetic data approachB modelMaximum likelihood estimation approachAsymptotic varianceGeneral regression contextSize nRegression contextSimulation studyVariable BEstimation approachDiverse scenariosCancer Prevention TrialExternal informationIndividual level dataDatasetProstate Cancer Prevention TrialPrevention trials