Featured Publications
Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
Gu T, Mack J, Salvatore M, Sankar S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Network Open 2020, 3: e2025197. PMID: 33084902, PMCID: PMC7578774, DOI: 10.1001/jamanetworkopen.2020.25197.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBetacoronavirusBlack or African AmericanComorbidityCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHealth Status DisparitiesHospitalizationHumansIntensive Care UnitsKidney DiseasesMaleMichiganMiddle AgedNeoplasmsObesityOdds RatioPandemicsPneumonia, ViralPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2White PeopleConceptsAssociated with higher riskInternational Classification of DiseasesRisk of hospitalizationPreexisting type 2 diabetesHigher risk of hospitalizationClassification of DiseasesType 2 diabetesCOVID-19 outcomesRacial/ethnic disparitiesWhite patientsBlack patientsIntensive care unitInternational ClassificationResidential-level socioeconomic characteristicsOdds ratioStatistically significant racial differencesHigh riskAssociated with higher risk of hospitalizationNon-Hispanic blacksAssociation of risk factorsNon-Hispanic whitesMichigan Department of HealthAssociated with increased risk of hospitalizationComorbidity scoreDepartment of HealthExploiting 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
2023
Mortality and Severe Complications Among Newly Graduated Surgeons in the United States
Howard R, Thelen A, Chen X, Gates R, Krumm A, Millis M, Gupta T, Brown C, Bandeh-Ahmadi H, Wnuk G, Yee C, Ryan A, Mukherjee B, Dimick J, George B. Mortality and Severe Complications Among Newly Graduated Surgeons in the United States. Annals Of Surgery 2023, 279: 555-560. PMID: 37830271, PMCID: PMC10939969, DOI: 10.1097/sla.0000000000006128.Peer-Reviewed Original ResearchMeSH KeywordsAgedClinical CompetenceHospital MortalityHospitalsHumansMedicarePostoperative ComplicationsRetrospective StudiesSurgeonsUnited StatesConceptsYears of practiceSevere complicationsRelative riskGeneral surgeonsIndependent practiceYears of independent practiceCareer surgeonsRelative risk of mortalityAmerican Board of SurgerySurgeon yearsMixed modelsSurgeon characteristicsRate of mortalityMedicare claimsComplicationsSurgeonsPatient outcomesPatientsMortalityAmerican BoardOutcomesCohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data
Salvatore M, Clark-Boucher D, Fritsche L, Ortlieb J, Houghtby J, Driscoll A, Caldwell-Larkins B, Smith J, Brummett C, Kheterpal S, Lisabeth L, Mukherjee B. Cohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data. Epidemiology And Health 2023, 45: e2023074. PMID: 37591787, PMCID: PMC10867525, DOI: 10.4178/epih.e2023074.Peer-Reviewed Original ResearchMeSH KeywordsElectronic Health RecordsFemaleGenotypeHealth SurveysHumansMaleMiddle AgedMobile ApplicationsRetrospective StudiesSurveys and QuestionnairesConceptsElectronic health recordsHealth recordsSelf-reported health dataFamily health historyEpidemiological questionnaireCancer screeningHealth cohortHealth SurveyHealth historyFinancial toxicityBaseline surveyEHR dataHealth dataCohort dataEPI-QAverage ageOccupational exposureGenotype dataParticipantsGenotype informationInstitutional review board approvalResponse rateCohortLife meaningQuestionnaireEvaluating Educational Outcomes Using Patient Outcomes of New Surgeons Performing Partial Colectomy Compared to Cholecystectomy
George B, Thelen A, Howard R, Kendrick D, Chen X, Clark M, Gupta T, Brown C, Bandeh-Ahmadi H, Luckoski J, Wnuk G, Fan Z, Krumm A, Ryan A, Buyske J, Mukherjee B, Dimick J. Evaluating Educational Outcomes Using Patient Outcomes of New Surgeons Performing Partial Colectomy Compared to Cholecystectomy. Academic Medicine 2023, 98: s143-s148. PMID: 37983406, DOI: 10.1097/acm.0000000000005368.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCholecystectomyColectomyHumansMedicareRetrospective StudiesSurgeonsUnited StatesConceptsPartial colectomyPatient outcomesYears of practiceExperienced surgeonSurgeon yearsRisk-adjusted ratesCholecystectomyColectomyTraining of surgeonsInpatient cholecystectomyComplicationsImprove surgical educationPatientsEvaluate educational outcomesSurgeonsSurgical residentsBenefit patientsInpatient operationsResidency trainingStudy periodDeathOutcomesSurgical educationMixed modelsTrainingCardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis
Leis A, Mathis M, Kheterpal S, Zawistowski M, Mukherjee B, Pace N, O'Reilly-Shah V, Smith J, Karvonen-Gutierrez C. Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis. British Journal Of Anaesthesia 2023, 131: 37-46. PMID: 37188560, PMCID: PMC10308436, DOI: 10.1016/j.bja.2023.04.001.Peer-Reviewed Original ResearchConceptsOdds of acute kidney injuryAcute kidney injuryCardiometabolic diseasesNon-Hispanic blacksGroup of hospitalsKidney injuryCardiometabolic patternTotal joint arthroplasty complicationsObesity statusObesity patternsIncreased oddsDisease co-occurrenceIncreased odds of AKIRetrospective analysisRisk of postoperative acute kidney injuryLatent class analysisLatent classesPostoperative acute kidney injuryRisk of acute kidney injuryRisk factorsDifferential riskTotal joint replacementMetabolic syndromeObesityPostoperative AKI riskAssociation of Surgical Resident Competency Ratings With Patient Outcomes
Kendrick D, Thelen A, Chen X, Gupta T, Yamazaki K, Krumm A, Bandeh-Ahmadi H, Clark M, Luckoscki J, Fan Z, Wnuk G, Ryan A, Mukherjee B, Hamstra S, Dimick J, Holmboe E, George B. Association of Surgical Resident Competency Ratings With Patient Outcomes. Academic Medicine 2023, 98: 813-820. PMID: 36724304, DOI: 10.1097/acm.0000000000005157.Peer-Reviewed Original ResearchConceptsPatient outcomesGeneral surgery residentsMilestone ratingsSevere complicationsInpatient general surgical proceduresSurgery residentsGeneral surgical proceduresHigh-risk procedureCross-sectional studyCompetency ratingsGeneral surgical residentsRisk-adjusted ratesClinical outcomesIndex operationSurgical proceduresGeneral surgeonsMedicare populationComplicationsNational MedicareYears of practiceSecondary analysisClinical performanceSurgical residentsOutcomesMortalityCOVID-19 outcomes by cancer status, site, treatment, and vaccination
Salvatore M, Hu M, Beesley L, Mondul A, Pearce C, Friese C, Fritsche L, Mukherjee B. COVID-19 outcomes by cancer status, site, treatment, and vaccination. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 748-759. PMID: 36626383, DOI: 10.1158/1055-9965.epi-22-0607.Peer-Reviewed Original ResearchMeSH KeywordsColorectal NeoplasmsCOVID-19Hematologic NeoplasmsHospitalizationHumansKidney NeoplasmsLung NeoplasmsRetrospective StudiesSARS-CoV-2VaccinationConceptsCOVID-19 outcomesCancer statusCancer diagnosisAssociated with higher ratesElectronic health record dataHealth record dataColorectal cancerIncreased riskAcademic medical centerKidney cancerCancer-free patientsIntensive care unit admissionCancer sitesAssociated with lower ratesChemotherapy receiptHigher ratesCOVID-19 precautionsRecord dataCOVID-19Logistic regressionMedical CenterUnit admissionRetrospective cohortVaccination statusLung cancer
2022
Lifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery
Phung M, Webb P, DeFazio A, Fereday S, Lee A, Bowtell D, Fasching P, Goode E, Goodman M, Karlan B, Lester J, Matsuo K, Modugno F, Brenton J, Van Gorp T, Pharoah P, Schildkraut J, McLean K, Meza R, Mukherjee B, Richardson J, Grout B, Chase A, Deurloo C, Terry K, Hanley G, Pike M, Berchuck A, Ramus S, Pearce C, Consortium O. Lifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery. Gynecologic Oncology 2022, 168: 68-75. PMID: 36401943, PMCID: PMC10398872, DOI: 10.1016/j.ygyno.2022.10.018.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialCytoreduction Surgical ProceduresFemaleHumansOvarian NeoplasmsParityPregnancyRetrospective StudiesConceptsHigh-grade serous ovarian cancerEstrogen-only therapyPrimary cytoreductive surgeryMacroscopic residual diseaseResidual diseaseParous womenFamily history of ovarian cancerOvarian Cancer Association ConsortiumMenopausal hormone therapy useHistory of ovarian cancerFirst-degree family historyCytoreductive surgeryOvarian cancer riskOvarian cancerAdvanced stage high-grade serous ovarian cancerPresence of macroscopic residual diseaseHormone therapy useHigh-grade serous ovarian cancer patientsDepot medroxyprogesterone acetate useBody mass indexLogistic regression modelsOral contraceptive useIncomplete pregnanciesSerous ovarian cancerFactors influencing survivalA Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
Haupert S, Shi X, Chen C, Fritsche L, Mukherjee B. A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns. Journal Of Biomedical Informatics 2022, 136: 104237. PMID: 36283580, PMCID: PMC9595430, DOI: 10.1016/j.jbi.2022.104237.Peer-Reviewed Original ResearchConceptsPhenome-wide association studyPost-COVID-19 conditionCOVID-19 survivorsCohort of COVID-19 survivorsAssociation studiesMental health disordersConditional logistic regressionWithin-person confoundingSARS-CoV-2 infectionRobust study designsProportion of COVID-19 survivorsPost-COVID-19Healthcare needsMental healthSARS-CoV-2Circulatory diseasesPhenotype codesHealth disordersSARS-CoV-2 positivityStudy designSARS-CoV-2 positive patientsLogistic regressionPheWASPost-COVID-19 infectionCOVID-19
2019
Factors Associated With Use of Sipuleucel-T to Treat Patients With Advanced Prostate Cancer
Caram M, Ross R, Lin P, Mukherjee B. Factors Associated With Use of Sipuleucel-T to Treat Patients With Advanced Prostate Cancer. JAMA Network Open 2019, 2: e192589. PMID: 31002323, PMCID: PMC6481456, DOI: 10.1001/jamanetworkopen.2019.2589.Peer-Reviewed Original ResearchConceptsMinimally symptomatic metastatic castration-resistant prostate cancerSipuleucel-TProstate cancerSymptomatic metastatic castration-resistant prostate cancerDatabase of commercially insured patientsMetastatic castration-resistant prostate cancerCastration-resistant prostate cancerAge of patientsRetrospective cohort studyFactors associated with useAssociated with patientsCommercially insured patientsPatterns of treatmentConcurrent therapyTreated patientsCohort studyMultivariate analysisCancer therapyTherapyPatientsPhysician factorsCancerBarriers to treatmentBinomial logistic regressionLogistic regression
2017
Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies
Estes J, Rice J, Li S, Stringham H, Boehnke M, Mukherjee B. Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies. Statistics In Medicine 2017, 36: 3895-3909. PMID: 28744888, PMCID: PMC5624850, DOI: 10.1002/sim.7398.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBayes TheoremBiasBiometryBody Mass IndexCase-Control StudiesComputer SimulationDiabetes Mellitus, Type 2Gene-Environment InteractionHumansLogistic ModelsMeta-Analysis as TopicModels, GeneticModels, StatisticalPolymorphism, Single NucleotideRetrospective StudiesConceptsGene-environment independenceGene-environmentEmpirical Bayes estimatorsGene-environment interactionsCase-control studyMeta-analysis settingBayes estimatorsRetrospective likelihood frameworkShrinkage estimatorsMeta-analysisTesting gene-environment interactionsCombination of estimatesFactors body mass indexSimulation studyBody mass indexUnconstrained modelLikelihood frameworkInverse varianceMeta-analysis frameworkFTO geneMass indexGenetic markersEstimationStandard alternativeChatterjeeRobust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence
Liu G, Mukherjee B, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Rossing MA, Moysich KB, Chang-Claude J, Doherty JA, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley BL, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Pearce CL, Consortium F. Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. American Journal Of Epidemiology 2017, 187: 366-377. PMID: 28633381, PMCID: PMC5860584, DOI: 10.1093/aje/kwx243.Peer-Reviewed Original Research
2016
Association of Environmental Toxins With Amyotrophic Lateral Sclerosis
Su F, Goutman S, Chernyak S, Mukherjee B, Callaghan B, Batterman S, Feldman E. Association of Environmental Toxins With Amyotrophic Lateral Sclerosis. JAMA Neurology 2016, 73: 803-11. PMID: 27159543, PMCID: PMC5032145, DOI: 10.1001/jamaneurol.2016.0594.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmyotrophic Lateral SclerosisCase-Control StudiesEnvironmental ExposureEnvironmental PollutantsFemaleGas Chromatography-Mass SpectrometryHumansMaleMichiganMiddle AgedMultivariate AnalysisOccupational ExposureOdds RatioOutcome Assessment, Health CareRetrospective StudiesRisk FactorsSurveys and QuestionnairesConceptsBrominated flame retardantsPersistent environmental pollutantsResidential exposureOrganochlorine pesticidesPolychlorinated biphenylsOdds of ALSAssociation of occupational exposureDisease risk factorsExposure time windowsEnvironmental pollutionRisk factorsModifiable risk factorsMultivariate modelOccupational exposureLogistic regression modelsCase-control studySurvey dataFamily history of amyotrophic lateral sclerosisExposure windowsIncreased oddsFamily historyAssociated with amyotrophic lateral sclerosisHistory of amyotrophic lateral sclerosisRegression modelsMilitary service
2013
Propensity score‐based diagnostics for categorical response regression models
Boonstra P, Bondarenko I, Park S, Vokonas P, Mukherjee B. Propensity score‐based diagnostics for categorical response regression models. Statistics In Medicine 2013, 33: 455-469. PMID: 23934948, PMCID: PMC3911784, DOI: 10.1002/sim.5940.Peer-Reviewed Original ResearchConceptsRetrospective sampling designsChi-square distributionCategorical response modelsGoodness-of-fit statisticsPredicted response probabilitiesResponse regression modelsConditional distributionProportional odds modelAssess model adequacyData examplesSimulation studyVA Normative Aging StudyNormative Aging StudyPropensity scoreCumulative lead exposureOdds modelModel diagnosticsCase-control studyAssociated with diabetesBalance scoresResponse probabilityModel adequacyCohort studyAging StudyNumerical summaries
2012
On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case‐control study of colorectal cancer
Ghosh M, Song J, Forster J, Mitra R, Mukherjee B. On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case‐control study of colorectal cancer. Statistics In Medicine 2012, 31: 2196-2208. PMID: 22495822, DOI: 10.1002/sim.5358.Peer-Reviewed Original ResearchConceptsPosterior inferenceCase-control study of colorectal cancerOdds ratio parametersCategorical response dataBayesian analysis of dataStudy of colorectal cancerCase-control studyGeneral classProspective likelihoodSimulation studyCategorical responsesBayesian analysisColorectal cancerMatched case-control studyInferenceAnalysis of dataResponse dataPriorsRetrospective designRetrospective modelEquivalenceA 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
2010
Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study
Park S, Elmarsafawy S, Mukherjee B, Spiro A, Vokonas P, Nie H, Weisskopf M, Schwartz J, Hu H. Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study. Hearing Research 2010, 269: 48-55. PMID: 20638461, PMCID: PMC2934752, DOI: 10.1016/j.heares.2010.07.004.Peer-Reviewed Original ResearchConceptsAge-related hearing lossPure-tone averagePatella lead levelsCumulative lead exposureHearing lossHearing thresholdsNormative Aging StudyAssociated with poorer hearing thresholdsOdds of hearing lossAir conduction hearing thresholdsAssociated with hearing lossConduction hearing thresholdsPoorer hearing thresholdsAging StudyDevelopment of age-related hearing lossReduction of lead exposureVA Normative Aging StudyCross-sectional analysisLead exposureOccupational noiseHearing abilityK X-ray fluorescencePotential confoundersEpidemiological researchLead levels
2009
Calculation of Risk of Colorectal and Endometrial Cancer Among Patients With Lynch Syndrome
Stoffel E, Mukherjee B, Raymond V, Tayob N, Kastrinos F, Sparr J, Wang F, Bandipalliam P, Syngal S, Gruber S. Calculation of Risk of Colorectal and Endometrial Cancer Among Patients With Lynch Syndrome. Gastroenterology 2009, 137: 1621-1627. PMID: 19622357, PMCID: PMC2767441, DOI: 10.1053/j.gastro.2009.07.039.Peer-Reviewed Original ResearchConceptsRisk of colorectal cancerCumulative risk of colorectal cancerHazard ratioColorectal cancerCumulative riskLifetime risk of colorectal cancerMismatch repair gene mutation carriersEstimates of colorectal cancerAge-specific cumulative riskMismatch repair gene mutationsEstimates of lifetime riskCancer genetics clinicsCases of colorectal cancerModified segregation analysisRisk of colorectalColorectal cancer riskHereditary colorectal cancerEndometrial cancerGene mutation carriersRepair gene mutationsRisk of ECOverestimation of penetrationFirst-degree relativesLynch syndromeCancer surveillance