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
2012
Point source modeling of matched case–control data with multiple disease subtypes
Li S, Mukherjee B, Batterman S. Point source modeling of matched case–control data with multiple disease subtypes. Statistics In Medicine 2012, 31: 3617-3637. PMID: 22826092, PMCID: PMC4331356, DOI: 10.1002/sim.5388.Peer-Reviewed Original ResearchConceptsAdjacent-category logit modelMarkov chain Monte Carlo techniquesEvaluate maximum likelihoodExtensive simulation studyProfile likelihoodHierarchical Bayesian approachCase-control dataSimulation studyBayesian approachMonte Carlo techniqueBayesian methodsMaximum likelihoodMultiple disease subtypesCategorical outcomesCovariate adjustmentNonlinear modelEstimation stabilityMedicaid claims dataCase-control designPediatric asthma populationAsthma populationElevated oddsMarkovLogit modelCovariates