Featured Publications
Exploiting Gene-Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes-Type Shrinkage Estimator to Trade-Off Between Bias and Efficiency
Mukherjee B, Chatterjee N. Exploiting Gene-Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes-Type Shrinkage Estimator to Trade-Off Between Bias and Efficiency. Biometrics 2007, 64: 685-694. PMID: 18162111, DOI: 10.1111/j.1541-0420.2007.00953.x.Peer-Reviewed Original ResearchConceptsGene-environment independenceShrinkage estimatorsLog odds ratio parametersCase-control dataGene-environment independence assumptionOdds ratio parametersCase-control estimatorsData-adaptive fashionData exampleProspective logistic regression analysisBinary exposureGene-environment associationsIndependence assumptionLogistic regression analysisCase-onlyMaximum likelihood frameworkEstimationSample sizeBinary genesRegression analysisChatterjeeExamplesWeighted averageAssumptions
2017
Complete hazard ranking to analyze right-censored data: An ALS survival study
Huang Z, Zhang H, Boss J, Goutman S, Mukherjee B, Dinov I, Guan Y, . Complete hazard ranking to analyze right-censored data: An ALS survival study. PLOS Computational Biology 2017, 13: e1005887. PMID: 29253881, PMCID: PMC5749893, DOI: 10.1371/journal.pcbi.1005887.Peer-Reviewed Original ResearchMeta-analysis of job-exposure matrix data from multiple sources
Cheng W, Roberts B, Mukherjee B, Neitzel R. Meta-analysis of job-exposure matrix data from multiple sources. Journal Of Exposure Science & Environmental Epidemiology 2017, 28: 259-274. PMID: 28975928, PMCID: PMC9936531, DOI: 10.1038/jes.2017.19.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremDatabases, FactualEnvironmental MonitoringEpidemiologic MethodsHumansOccupational ExposureOccupationsRisk AssessmentUnited States
2012
A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies
Bhadra D, Daniels M, Kim S, Ghosh M, Mukherjee B. A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies. Biometrics 2012, 68: 361-370. PMID: 22313248, PMCID: PMC3935236, DOI: 10.1111/j.1541-0420.2011.01686.x.Peer-Reviewed Original ResearchConceptsBayesian semiparametric approachSemiparametric approachCase-control studyReversible jump Markov chain Monte Carlo algorithmMarkov chain Monte Carlo algorithmMeasures of cumulative exposureLongitudinal biomarker informationMonte Carlo algorithmClinically meaningful estimatesSmooth functionsCase-control study of prostate cancerWeighted integralsCumulative exposureInfluence functionJoint likelihoodLikelihood formulationExposure historyStudy of prostate cancerDisease risk modelsHierarchical Bayesian frameworkDisease statusBayesian frameworkCase-controlRisk modelCohort study