2019
Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN)
Wang X, Mukherjee B, Batterman S, Harlow S, Park S. Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN). International Journal Of Hygiene And Environmental Health 2019, 222: 778-789. PMID: 31103473, PMCID: PMC6583796, DOI: 10.1016/j.ijheh.2019.05.002.Peer-Reviewed Original ResearchConceptsMultiple metalsMetal mixturesExposure to multiple metalsExposure patternsConcentrations of metalsExposure to metalsConsumption of seafoodHigh-resolution inductively coupled plasma mass spectrometryInductively coupled plasma mass spectrometryMeasured urinary concentrationsGeometric mean concentrationsMetal exposurePlasma mass spectrometrySeafood intakeUrinary metalsMean concentrationsRice intakeSeafoodUrinary concentrationsDetectable concentrationHigher exposuresGeographical characteristicsMercuryLead levelsMetal
2009
Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis
Mukherjee B, Ahn J, Gruber S, Ghosh M, Chatterjee N. Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis. Biometrics 2009, 66: 934-948. PMID: 19930190, PMCID: PMC3103064, DOI: 10.1111/j.1541-0420.2009.01357.x.Peer-Reviewed Original ResearchConceptsGene-environment interactionsCase-control study of colorectal cancerStudy of gene-environment interactionsStudy of colorectal cancerGene-environment independenceRed meat consumptionBayesian designCase-control studyBayesian approachSample size determination criteriaCase-controlEpidemiological studiesColorectal cancerFrequentist counterpartsNatural wayMeat consumptionAnalyze current dataHypothesis testingDetermination criteriaSmokingEpidemiological exposureAnalysis strategyStudy