Featured Publications
Statistical Inference for Association Studies Using Electronic Health Records: Handling Both Selection Bias and Outcome Misclassification
Beesley L, Mukherjee B. Statistical Inference for Association Studies Using Electronic Health Records: Handling Both Selection Bias and Outcome Misclassification. Biometrics 2020, 78: 214-226. PMID: 33179768, DOI: 10.1111/biom.13400.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsElectronic health record data analysisElectronic health record settingsSelection biasMichigan Genomics InitiativeAssociation studiesEHR-linkedHealth researchInverse probability weighting methodStudy sampleEffect estimatesProbability weighting methodLack of representativenessType I errorSurvey sampling literatureStandard error estimatesGold standard labelsDisease statusError estimatesStatistical inferenceMisclassificationInference strategySampling literatureStandard labelsCharacteristics 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 Health
2024
Avocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study
Goutman S, Boss J, Jang D, Piecuch C, Farid H, Batra M, Mukherjee B, Feldman E, Batterman S. Avocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study. Journal Of The Neurological Sciences 2024, 457: 122899. PMID: 38278093, PMCID: PMC11060628, DOI: 10.1016/j.jns.2024.122899.Peer-Reviewed Original ResearchConceptsALS riskLower educational attainmentAssociated with ALS riskCase-control studyExercise 5Onset ageSelf-completionExposure variablesYard workExposure associationsRecreational danceIdentified exposureExerciseEducational attainmentAL burdenEnvironmental exposuresParticipantsAL factorPersonal participationAvocational exposureRiskExposomeHobbiesALS onsetComparison correction
2023
Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study
Meah S, Shi X, Fritsche L, Salvatore M, Wagner A, Martin E, Mukherjee B. Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study. Science Advances 2023, 9: eadj3747. PMID: 38117882, PMCID: PMC10732535, DOI: 10.1126/sciadv.adj3747.Peer-Reviewed Original ResearchEnvironmental risk scores of persistent organic pollutants associate with higher ALS risk and shorter survival in a new Michigan case/control cohort
Goutman S, Boss J, Jang D, Mukherjee B, Richardson R, Batterman S, Feldman E. Environmental risk scores of persistent organic pollutants associate with higher ALS risk and shorter survival in a new Michigan case/control cohort. Journal Of Neurology Neurosurgery & Psychiatry 2023, 95: 241-248. PMID: 37758454, PMCID: PMC11060633, DOI: 10.1136/jnnp-2023-332121.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreAmyotrophic lateral sclerosis riskPersistent organic pollutantsALS riskInterquartile increaseHigher ALS riskAssociated with ALS riskModify disease riskOrganochlorine pesticidesAssociated with riskRisk reduction strategiesPersistent organic pollutant analysisIndividual persistent organic pollutantsPersistent organic pollutant mixturesHazard ratioDisease riskRisk scoreCase/control cohortEnvironmental exposuresControl participantsGenetic susceptibilityPolychlorinated biphenylsAlpha-hexachlorocyclohexaneOrganic pollutantsMortality rate
2021
Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents
Wu K, Hornsby W, Klunder B, Krause A, Driscoll A, Kulka J, Bickett-Hickok R, Fellows A, Graham S, Kaleba E, Hayek S, Shi X, Sutton N, Douville N, Mukherjee B, Jamerson K, Brummett C, Willer C. Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents. PLOS ONE 2021, 16: e0246447. PMID: 33556117, PMCID: PMC7870003, DOI: 10.1371/journal.pone.0246447.Peer-Reviewed Original ResearchConceptsAfrican AmericansAnnual household income <Worsening health behaviorsLong-term health outcomesHousehold income <Low socioeconomic statusExposure to family membersHigher overall concernHigh riskExposure to familyHigh risk of contracting COVID-19Positive COVID-19 testLow-income groupsHealth behaviorsHealth outcomesRates of COVID-19 casesRental housingSocioeconomic statusClinical careRisk of contracting COVID-19COVID-19 preventionChronic diseasesInequality gapState of MichiganCOVID-19 cases
2020
Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes
Salerno S, Zhao Z, Sankar S, Salvatore M, Gu T, Fritsche L, Lee S, Lisabeth L, Valley T, Mukherjee B. Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes. Journal Of Internal Medicine 2020, 289: 726-737. PMID: 33253457, PMCID: PMC7753604, DOI: 10.1111/joim.13213.Peer-Reviewed Original ResearchConceptsAssociated with repeat testingFalse-negative rateNeighborhood poverty levelPre-existing type 2 diabetesSevere COVID-19-related outcomesDiagnostic testsPatient characteristicsPre-existing kidney diseaseBody mass indexICU-level careHealth outcomesCOVID-19-related outcomesCharacteristics of patientsCOVID-19 diagnostic testsType 2 diabetesMichigan MedicineMass indexCOVID-19Pain symptomsPatient agePoverty levelDownstream outcomesKidney diseaseRepeated testingLiver diseasePhenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks
Salvatore M, Beesley L, Fritsche L, Hanauer D, Shi X, Mondul A, Pearce C, Mukherjee B. Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. Journal Of Biomedical Informatics 2020, 113: 103652. PMID: 33279681, PMCID: PMC7855433, DOI: 10.1016/j.jbi.2020.103652.Peer-Reviewed Original ResearchConceptsElectronic health recordsPolygenic risk scoresElectronic health record dataMichigan Genomics InitiativePhenotype risk scoreHigh-risk individualsPancreatic cancer diagnosisBody mass indexRisk scoreCancer diagnosisMedical phenomeUK Biobank (UKBHealth record dataSource of patient informationRisk predictionHypothesis-generating associationsDisease risk predictionHealth recordsUnadjusted associationsDrinking statusSmoking statusEpidemiological covariatesUKBPatient informationMultivariate associationsAn analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records
Beesley L, Fritsche L, Mukherjee B. An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records. Statistics In Medicine 2020, 39: 1965-1979. PMID: 32198773, DOI: 10.1002/sim.8524.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsAssociation studiesObservational health care databasesElectronic health record dataLongitudinal biorepository effortPhenome-wide association studyMichigan Genomics InitiativeHealth record dataHealth care databasesDisease-gene association studiesMichigan Health SystemCare databaseHealth systemPhenotype misclassificationStudy biasRecord dataNonprobability samplingAssociation analysisData sourcesGenome InitiativeMisclassificationAnalysis approachRecordsSensitivity analysisInteraction analysis under misspecification of main effects: Some common mistakes and simple solutions
Zhang M, Yu Y, Wang S, Salvatore M, Fritsche L, He Z, Mukherjee B. Interaction analysis under misspecification of main effects: Some common mistakes and simple solutions. Statistics In Medicine 2020, 39: 1675-1694. PMID: 32101638, DOI: 10.1002/sim.8505.Peer-Reviewed Original ResearchConceptsType I error rateType I error inflationIndependence assumptionWald and score testsCorrect type I error ratesSandwich variance estimatorSandwich estimatorScore testVariance estimationSimulation studyMisspecificationMichigan Genomics InitiativeStatistical practiceBinary outcomesTested interactionsEmpirical factsFlexible modelData modelTest of interactionBiobank studyInflationAssumptionsContinuous outcomesEpidemiological literatureLinear regression models
2019
The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities
Beesley L, Salvatore M, Fritsche L, Pandit A, Rao A, Brummett C, Willer C, Lisabeth L, Mukherjee B. The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities. Statistics In Medicine 2019, 39: 773-800. PMID: 31859414, PMCID: PMC7983809, DOI: 10.1002/sim.8445.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsMichigan Genomics InitiativeBiobank-based studiesHealth-related researchUK BiobankHealth researchDisease-gene associationsStudy designAgnostic searchBiobankDisease-treatmentInformatics infrastructureHypothesis-generating studyPhenotypic identificationGenome InitiativeMissing dataResource catalogExploratory questionsCurrent bodyBiobank researchData typesMedical researchRecruitment mechanismsPractical guidanceExploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb
Fritsche L, Beesley L, VandeHaar P, Peng R, Salvatore M, Zawistowski M, Taliun S, Das S, LeFaive J, Kaleba E, Klumpner T, Moser S, Blanc V, Brummett C, Kheterpal S, Abecasis G, Gruber S, Mukherjee B. Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. PLOS Genetics 2019, 15: e1008202. PMID: 31194742, PMCID: PMC6592565, DOI: 10.1371/journal.pgen.1008202.Peer-Reviewed Original ResearchConceptsMichigan Genomics InitiativeElectronic health recordsPolygenic risk scoresSkin cancer subtypesPheWAS resultsUK BiobankElectronic health record dataLongitudinal biorepository effortPhenome-wide association studyRisk scoreHealth record dataUK Biobank dataPrediction of disease riskPublicly-available sourcesHealth recordsGenetic architectureBiobank dataMichigan MedicineRecord dataSecondary phenotypesDisease riskVisual catalogAssociation studiesGenome InitiativePheWAS
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
2014
A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan
Batterman S, Burke J, Isakov V, Lewis T, Mukherjee B, Robins T. A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan. International Journal Of Environmental Research And Public Health 2014, 11: 9553-9577. PMID: 25226412, PMCID: PMC4199035, DOI: 10.3390/ijerph110909553.Peer-Reviewed Original ResearchConceptsTraffic-related air pollutionAir pollutionTraffic densityTraffic emissionsExposure metricsDispersion modelTransportation planning studiesSource of air pollutant emissionsComparison of exposure distributionNear-road environmentExposure to traffic-related air pollutionEmission densityAir pollutant emissionsAir pollution epidemiologyDispersion modeling systemVehicle mixEpidemiological studiesTraffic volumePollutant concentrationsSpatial variabilityResidential locationHealth risksTrafficPollutionProximity classification
2012
Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area
Lewis T, Robins T, Mentz G, Zhang X, Mukherjee B, Lin X, Keeler G, Dvonch J, Yip F, O'Neill M, Parker E, Israel B, Max P, Reyes A, Committee C. Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area. The Science Of The Total Environment 2012, 448: 48-55. PMID: 23273373, PMCID: PMC4327853, DOI: 10.1016/j.scitotenv.2012.11.070.Peer-Reviewed Original ResearchConceptsParticulate matterAir pollutionAssociated with negative health impactsAmbient pollutant concentrationsAir quality standardsAmbient air pollutionAmbient particulate matterEffective risk reduction interventionsOdds of respiratory symptomsAsthmatic childrenFactors associated with heterogeneityAssociated with increased oddsObserved health effectsRespiratory symptomsRisk reduction interventionsPopulation of asthmatic childrenRespiratory symptom diariesOutdoor PMDaily concentrationsPollutant concentrationsMonitoring sitesGeneralized estimating equationsPollution modelLogistic regression modelsAerodynamic diameterHypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level
Mentz G, Schulz A, Mukherjee B, Ragunathan T, Perkins D, Israel B. Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level. BMC Health Services Research 2012, 12: 312. PMID: 22967264, PMCID: PMC3483283, DOI: 10.1186/1472-6963-12-312.Peer-Reviewed Original ResearchConceptsHealthy Environments PartnershipSelf-reported hypertension prevalenceEstimates of hypertension prevalenceSelf-reported dataHypertension prevalenceNHANES sampleUrban sampleNational Health and Nutrition ExaminationSelf-reportAssessment of population healthPopulation-based interventionsSelf-reported hypertensionUnderreporting of hypertensionEstimates of hypertensionAccuracy of self-reported dataHealth care programsPrevalence of hypertensionMethodsWe analyzed dataPopulation level estimatesModerate to goodSelf-reported survey dataEthnically diverse urban samplePopulation healthCare programNutrition ExaminationPoint source modeling of matched case–control data with multiple disease subtypes
Li S, Mukherjee B, Batterman S. Point source modeling of matched case–control data with multiple disease subtypes. Statistics In Medicine 2012, 31: 3617-3637. PMID: 22826092, PMCID: PMC4331356, DOI: 10.1002/sim.5388.Peer-Reviewed Original ResearchConceptsAdjacent-category logit modelMarkov chain Monte Carlo techniquesEvaluate maximum likelihoodExtensive simulation studyProfile likelihoodHierarchical Bayesian approachCase-control dataSimulation studyBayesian approachMonte Carlo techniqueBayesian methodsMaximum likelihoodMultiple disease subtypesCategorical outcomesCovariate adjustmentNonlinear modelEstimation stabilityMedicaid claims dataCase-control designPediatric asthma populationAsthma populationElevated oddsMarkovLogit modelCovariates
2011
Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects
Li S, Batterman S, Wasilevich E, Wahl R, Wirth J, Su F, Mukherjee B. Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects. Environmental Research 2011, 111: 1137-1147. PMID: 21764049, DOI: 10.1016/j.envres.2011.06.002.Peer-Reviewed Original ResearchConceptsAmbient air pollutionGeneralized additive modelCase-crossover designConditional logistic regressionPediatric Medicaid populationAir pollutionAsthma morbidityAssociated with ambient air pollutionMedicaid populationEffects of air pollutionAsthma emergency department visitsAdditive modelLogistic regressionConditional logistic regression modelsAcute asthma eventsAssociations of SO2Interquartile range increaseCase-crossover analysisEmergency department visitsCase-crossover studyPM2.5 concentrationsPM2.5 thresholdLogistic regression modelsStrong effect sizesPM2.5Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan
Li S, Batterman S, Wasilevich E, Elasaad H, Wahl R, Mukherjee B. Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan. Environmental Health 2011, 10: 34. PMID: 21513554, PMCID: PMC3224543, DOI: 10.1186/1476-069x-10-34.Peer-Reviewed Original ResearchConceptsConditional logistic regressionPopulation-based matched case-control studyPediatric Medicaid populationCase-control studyMedicaid populationProximity of residenceLogistic regressionConditional logistic regression modelsElevated risk of asthmaRisk of asthmaEmergency department visitsCase-control analysisLogistic regression modelsHigh-risk populationTraffic-related pollutantsAsthma outcomesDepartment visitsAsthma eventsAsthma claimAsthma-related eventsAsthma casesEcological biasOdds ratioInvestigate associationsMethodThis study
2010
Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan
Rohr A, Kamal A, Morishita M, Mukherjee B, Keeler G, Harkema J, Wagner J. Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan. Environmental Health Perspectives 2010, 119: 474-480. PMID: 21163724, PMCID: PMC3080928, DOI: 10.1289/ehp.1002831.Peer-Reviewed Original ResearchConceptsSource factorsPositive matrix factorizationNormal-to-normal intervalsLocal industrial sourcesParticulate matter componentsFine particulate matterSludge factorSemicontinuous ElementsSludge incinerationAerosol samplerAdverse cardiopulmonary health effectsAmbient particlesHeart rate variabilityExposure to fine particulate matterParticulate matterSulfation factorWinterRoot mean squareIndustrial sourcesIncreased root mean squareSummerCement/limeAnalytical resultsHeart rateSludge