2020
Estrogen Plus Progestin Hormone Therapy and Ovarian Cancer: A Complicated Relationship Explored.
Lee A, Wu A, Wiensch A, Mukherjee B, Terry K, Harris H, Carney M, Jensen A, Cramer D, Berchuck A, Doherty J, Modugno F, Goodman M, Alimujiang A, Rossing M, Cushing-Haugen K, Bandera E, Thompson P, Kjaer S, Hogdall E, Webb P, Huntsman D, Moysich K, Lurie G, Ness R, Stram D, Roman L, Pike M, Pearce C. Estrogen Plus Progestin Hormone Therapy and Ovarian Cancer: A Complicated Relationship Explored. Epidemiology 2020, 31: 402-408. PMID: 32028322, PMCID: PMC7584395, DOI: 10.1097/ede.0000000000001175.Peer-Reviewed Original ResearchConceptsRisk of ovarian cancerEstrogen-progestin combined therapyEstrogen-alone therapyAssociated with increased riskOvarian cancerCombination therapyRisk of ovarian cancer overallAssociated with increased risk of ovarian cancerOvarian cancer risk factorsPopulation-based case-control studyOvarian Cancer Association ConsortiumMenopausal hormone therapy useIncreased risk of endometrial cancerOvarian cancer overallRisk of endometrial cancerCancer risk factorsHistotypes of ovarian cancerRisk factorsProgestin hormone therapyMucinous ovarian cancerOvarian cancer casesIn-person interviewsHormone therapy useOvarian cancer histotypesCase-control study
2012
Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling
Lyles R, Tang L, Lin J, Zhang Z, Mukherjee B. Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling. Statistics In Medicine 2012, 31: 2485-2497. PMID: 22415630, PMCID: PMC3528351, DOI: 10.1002/sim.4426.Peer-Reviewed Original ResearchConceptsPopulation-based case-control study of colorectal cancerCase-control study of colorectal cancerPopulation-based case-control studyStudy of colorectal cancerExposure statusBinary outcomesRegression modelsCase-control sampleLogistic regression modelsGene-disease associationsObserved binary outcomeStudy designEpidemiological studiesColorectal cancerAssess exposureMaximum likelihood analysisRegression analysisLikelihood-based methodsExposure assessmentMaximum likelihood approachLikelihood approachCross-sectionSimulation studyOutcomesLikelihood analysis
2011
Logistic regression analysis of biomarker data subject to pooling and dichotomization
Zhang Z, Liu A, Lyles R, Mukherjee B. Logistic regression analysis of biomarker data subject to pooling and dichotomization. Statistics In Medicine 2011, 31: 2473-2484. PMID: 21953741, DOI: 10.1002/sim.4367.Peer-Reviewed Original ResearchConceptsPopulation-based case-control study of colorectal cancerCase-control study of colorectal cancerProspective logistic regression modelPopulation-based case-control studyStudy of colorectal cancerEpidemiological studiesLogistic regression modelsAnalysis of epidemiological dataLogistic regression analysisBinary exposurePooled measureColorectal cancerRegression modelsEpidemiological dataRegression analysisAnalysis of biomarker dataDisease statusExposed subjectsBiomarker dataChoice of designSubjectsEstimated parametersStatusRecommendations
2009
M2006 Elevated Risk of Colorectal Cancer in Inflammatory Bowel Disease and Modification of Risk By Statin Use: A Population-Based Case-Control Study
Samadder N, Huang S, Mukherjee B, Rennert G, Gruber S. M2006 Elevated Risk of Colorectal Cancer in Inflammatory Bowel Disease and Modification of Risk By Statin Use: A Population-Based Case-Control Study. Gastroenterology 2009, 136: a-465. DOI: 10.1016/s0016-5085(09)62140-5.Peer-Reviewed Original Research
2007
Semiparametric Bayesian Analysis of Case–Control Data under Conditional Gene-Environment Independence
Mukherjee B, Zhang L, Ghosh M, Sinha S. Semiparametric Bayesian Analysis of Case–Control Data under Conditional Gene-Environment Independence. Biometrics 2007, 63: 834-844. PMID: 17489972, DOI: 10.1111/j.1541-0420.2007.00750.x.Peer-Reviewed Original ResearchConceptsGene-environment independenceSemiparametric Bayesian approachTraditional logistic regression analysisParametric model assumptionsSemiparametric Bayesian modelCase-control studyPopulation-based case-control studySimulation studyBayesian approachRobust alternativeLogistic regression analysisUnderlying populationEfficient estimation techniqueBayesian modelEnvironmental exposuresModel assumptionsScientific evidenceRegression analysisAssociated with diseaseEstimation techniquesOvarian cancerControl populationPopulationIndependenceCovariates