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
2018
Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Cheng W, Taylor J, Gu T, Tomlins S, Mukherjee B. Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2018, 68: 121-139. PMID: 31105344, PMCID: PMC6519970, DOI: 10.1111/rssc.12306.Peer-Reviewed Original ResearchOutcome variable YEfficiency of estimationMeasurement error literatureDistribution of B.Regression coefficientsVariable YRegression modelsBinary outcomesVariable BLogistic regression modelsRisk prediction modelAlternative expressionBinary BImproved estimatesGaussian distributionProstate Cancer Prevention Trial Risk CalculatorProstate cancer antigen 3Risk calculatorStandard errorEstimationPredictive powerAntigen 3RegressionHistorical dataImproving estimation and prediction in linear regression incorporating external information from an established reduced model
Cheng W, Taylor J, Vokonas P, Park S, Mukherjee B. Improving estimation and prediction in linear regression incorporating external information from an established reduced model. Statistics In Medicine 2018, 37: 1515-1530. PMID: 29365342, PMCID: PMC5889759, DOI: 10.1002/sim.7600.Peer-Reviewed Original ResearchConceptsOutcome variable YEfficiency of estimationApproximate Bayesian inferenceBayes solutionVariable YNonlinear constraintsInferential frameworkVariable BE(Y|XImprove inferenceBayesian inferenceEffective computational methodParameter spaceReduced modelImproved estimatesLinear regression modelsTransformation approachStandard errorDunsonInferenceEstimationRegression modelsProblemCovariatesSpace