2018
Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability
Estes J, Mukherjee B, Taylor J. Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability. Statistics In Biosciences 2018, 10: 568-586. PMID: 31123532, PMCID: PMC6529204, DOI: 10.1007/s12561-018-9217-4.Peer-Reviewed Original ResearchEmpirical Bayes estimatorsSummary-level informationConstrained maximum likelihoodBayes estimatorsEmpirical Bayes shrinkage estimatorsSimulation studyBayes shrinkage estimatorShrinkage estimatorsLikelihood estimationCovariate distributionsConditional probability distributionData applicationsTrade biasMaximum likelihoodProbability distributionLoss of efficiencyCancer Prevention TrialIndividual-level dataEstimationProstate Cancer Prevention TrialPrevention trialsInternational population
2009
Bayesian inference for the stereotype regression model: Application to a case–control study of prostate cancer
Ahn J, Mukherjee B, Banerjee M, Cooney K. Bayesian inference for the stereotype regression model: Application to a case–control study of prostate cancer. Statistics In Medicine 2009, 28: 3139-3157. PMID: 19731262, PMCID: PMC3103066, DOI: 10.1002/sim.3693.Peer-Reviewed Original ResearchConceptsStereotype regression modelProportional odds modelLog-odds-ratioStereotype modelMaximum likelihood estimationOdds modelBayesian inferenceAdjacent category logit modelCase-control study of prostate cancerLack of identifiabilityModel comparison procedureLikelihood estimationProduct representationValid inferenceFrequentist approachUnordered outcomesCategorical responsesOrdered outcomesCategory-specific scoresOdd structuresComparison procedureCategorical outcomesLatent variablesInferenceCase-control study