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
2012
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches
Boonstra P, Taylor J, Mukherjee B. Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches. Biostatistics 2012, 14: 259-272. PMID: 23087411, PMCID: PMC3590922, DOI: 10.1093/biostatistics/kxs036.Peer-Reviewed Original ResearchConceptsHigh-dimensional datasetsAuxiliary informationRidge estimatorBayesian alternativeOutcome YSimulation studyEstimates of BShrinkage approachBiological processesRidge regressionGene expression datasetsDatasetGenomic technologiesMicroarray technologyOptimal choiceBalance efficiencyX.EstimationPrediction errorPolymerase chain reactionBiological phenomenaInformationTechnologyQuantitative real-time polymerase chain reaction