2019
Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches.
Boss J, Mukherjee B, Ferguson K, Aker A, Alshawabkeh A, Cordero J, Meeker J, Kim S. Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches. Epidemiology 2019, 30: 746-755. PMID: 31299670, PMCID: PMC6677587, DOI: 10.1097/ede.0000000000001052.Peer-Reviewed Original ResearchConceptsBinary outcome dataLikelihood-based methodsComplete-case analysisDistributional assumptionsAssignment of samplesSuperior estimation propertiesSimulation studyComplete-caseMultiple imputation strategyExposure dataMultiple batchesBatch assignmentEstimated propertiesLimit-variablesSingle imputationMultiple imputationCohort study
2013
Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions
Li S, Batterman S, Su F, Mukherjee B. Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment 2013, 77: 464-473. PMID: 24348086, PMCID: PMC3857711, DOI: 10.1016/j.atmosenv.2013.05.004.Peer-Reviewed Original ResearchFinite mixture of normalsDirichlet process mixtureMixtures of normalsDirichlet process mixtures of normalsFinite mixtureHeavy tailsDirichlet process mixture methodsMethod detection limitsComprehensive simulation studyDistributions of VOC concentrationsProcess mixtureStandard model assumptionsPosterior distributionEmpirical densityNormal distributionSimulation studyGoodness-of-fit criteriaVolatile organic compoundsDensity estimationGoodness-of-fitDensity estimation methodCensoringConvergence issuesExposure dataEstimation method
2011
A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures
Sánchez B, Kang S, Mukherjee B. A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures. Biometrics 2011, 68: 466-476. PMID: 21955029, PMCID: PMC4405908, DOI: 10.1111/j.1541-0420.2011.01677.x.Peer-Reviewed Original ResearchMeSH KeywordsAnalysis of VarianceBiasBiometryBirth WeightCase-Control StudiesComputer SimulationEnvironmental ExposureEpidemiologic FactorsFemaleGene-Environment InteractionHumansInfant, NewbornIronLead PoisoningModels, StatisticalPregnancyPrenatal Exposure Delayed EffectsPrincipal Component AnalysisConceptsGene-environment interactionsGene-environmentEnvironmental epidemiologyCohort studyGene-environment dependenceBurden of multiple testingStudy gene-environment interactionsEnvironmental exposuresExposure dataEarly life exposuresLV frameworkG x E effectsHealth StudyCorrelated exposuresG x EDisease riskLife exposureMultiple testingFunction of environmental exposureE studyGenotype categoriesStudy of lead exposureBirth weightIron metabolism genesAdaptive trade-off