2024
Residential 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. Residential exposure associations with ALS risk, survival, and phenotype: a Michigan-based case-control study. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration 2024, 25: 543-553. PMID: 38557405, PMCID: PMC11269018, DOI: 10.1080/21678421.2024.2336110.Peer-Reviewed Original ResearchAmyotrophic lateral sclerosis riskAssociated with ALS riskALS riskCase-only analysisResidential settingsControl participantsCox proportional hazards modelsLogistic regression modelsCase-control studyMultinomial logistic regressionMultiple testing correctionProportional hazards modelLatent profile analysisResidential exposureExposure variablesPolytomous outcomesExposure associationsDecrease disease burdenALS susceptibilityLogistic regressionDisease burdenTesting correctionHazards modelRisk factorsRegression models
2023
COVID-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 ResearchConceptsCOVID-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
A 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
2021
Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting
Ashrap P, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting. Environmental Research 2021, 200: 111435. PMID: 34097892, PMCID: PMC8403638, DOI: 10.1016/j.envres.2021.111435.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreIntraclass correlation coefficientBirth outcomesBody mass indexWeighted quantile sumOdds ratio of preterm birthSecond-hand smoke exposurePre-pregnancy body mass indexOdds of preterm birthAssociated with birth outcomesIncreased odds of preterm birthPractice study designHealth effectsPreterm birthMaternal educationIncreased oddsOdds ratioSmoke exposureStudy designMaternal ageMass indexArea under the curveRisk scoreLogistic regressionConfidence intervalsMaternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates
Aung M, Ashrap P, Watkins D, Mukherjee B, Rosario Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Maternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates. Scientific Reports 2021, 11: 8115. PMID: 33854141, PMCID: PMC8046995, DOI: 10.1038/s41598-021-87472-9.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthBiomarkers of pregnancy outcomesGestational age neonatesPreterm birthAge neonatesPregnancy outcomesDegree of hydrocarbon chain saturationIncreased riskNeonatal anthropometric parametersAssociated with increased riskPlasmenyl phosphatidylethanolamineMaternal lipidomeWeeks gestationGestational ageLipidomic signatureAnthropometric parametersLiquid chromatography tandem mass spectrometryLipidomic profilesLipid metabolitesHydrocarbon chain saturationPlasma samplesBirthLogistic regressionHigh-performance liquid chromatography tandem mass spectrometryNeonates
2020
Menopausal hormone therapy prior to the diagnosis of ovarian cancer is associated with improved survival
Brieger KK, Peterson S, Lee AW, Mukherjee B, Bakulski KM, Alimujiang A, Anton-Culver H, Anglesio MS, Bandera EV, Berchuck A, Bowtell DDL, Chenevix-Trench G, Cho KR, Cramer DW, DeFazio A, Doherty JA, Fortner RT, Garsed DW, Gayther SA, Gentry-Maharaj A, Goode EL, Goodman MT, Harris HR, Høgdall E, Huntsman DG, Shen H, Jensen A, Johnatty SE, Jordan SJ, Kjaer SK, Kupryjanczyk J, Lambrechts D, McLean K, Menon U, Modugno F, Moysich K, Ness R, Ramus SJ, Richardson J, Risch H, Rossing MA, Trabert B, Wentzensen N, Ziogas A, Terry KL, Wu AH, Hanley GE, Pharoah P, Webb PM, Pike MC, Pearce CL, Consortium F. Menopausal hormone therapy prior to the diagnosis of ovarian cancer is associated with improved survival. Gynecologic Oncology 2020, 158: 702-709. PMID: 32641237, PMCID: PMC7487048, DOI: 10.1016/j.ygyno.2020.06.481.Peer-Reviewed Original ResearchConceptsMenopausal hormone therapyOvarian cancer survivalMHT useResidual diseaseHormone therapyCancer survivalOvarian cancerHigh-grade serous carcinomaMacroscopic residual diseaseHormone therapy useFavorable prognostic factorPost-menopausal womenOvarian Cancer Association ConsortiumProportional hazards modelRecency of useImproved survivalPrognostic factorsTherapy useSerous carcinomaOvarian carcinomaHazards modelSmall studyAdvanced stageLarger studyLogistic regressionAn efficient and computationally robust statistical method for analyzing case-control mother–offspring pair genetic association studies
Zhang H, Mukherjee B, Arthur V, Hu G, Hochner H, Chen J. An efficient and computationally robust statistical method for analyzing case-control mother–offspring pair genetic association studies. The Annals Of Applied Statistics 2020, 14: 560-584. DOI: 10.1214/19-aoas1298.Peer-Reviewed Original ResearchEnvironmental risk factorsRisk factorsMaternal environmental risk factorsOffspring genetic effectsPerinatal environmental risk factorsGenetic association studiesFinite sample performancePregnancy healthGenetic risk factorsAssessment of pre-Extensive simulation studyGestational diabetes mellitusIncreased statistical efficiencyLogistic regressionAssociation studiesMaternal genotypeSample performanceMendelian transmissionProfile likelihoodRegression modelsOffspring genotypesEarly-lifeInference proceduresLagrange multiplier methodLikelihood method
2019
Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers
Aung M, Yu Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Mukherjee B, Meeker J. Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers. Scientific Reports 2019, 9: 17049. PMID: 31745121, PMCID: PMC6863859, DOI: 10.1038/s41598-019-53448-z.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthPreterm birthMultiple logistic regressionCross-sectional study of pregnant womenAssociation of preterm birthCases of preterm birthStudy of pregnant womenOverall preterm birthPreterm birth casesPreterm birth outcomesCytochrome P450 metabolitesLogistic regressionOxidative stress markersAberrant placentationCross-sectional studyDelivered termCytochrome P450 productPredictive biomarkersPregnant womenPretermEicosanoid metabolitesImmune biomarkersLipoxygenase metabolitesBirth casesResolvin D1Factors 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
2014
A data-adaptive strategy for inverse weighted estimation of causal effects
Zhu Y, Ghosh D, Mitra N, Mukherjee B. A data-adaptive strategy for inverse weighted estimation of causal effects. Health Services And Outcomes Research Methodology 2014, 14: 69-91. DOI: 10.1007/s10742-014-0124-y.Peer-Reviewed Original ResearchEstimation of causal effectsData analysis examplesAverage treatment effectNonparametric modelSimulation studyTheoretical resultsPropensity scoreEffect of confoundersMeasured covariatesWeight estimationCausal effectsNonrandomized observational studyTreatment effectsLogistic regressionObservational studyAnalysis exampleRandomized trialsConfoundingExamplesScoresCovariatesInferenceEstimation
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 sizesPM2.5Comparative Performance of Comorbidity Indices in Discriminating Health-related Behaviors and Outcomes
Ou H, Mukherjee B, Erickson S, Piette J, Bagozzi R, Balkrishnan R. Comparative Performance of Comorbidity Indices in Discriminating Health-related Behaviors and Outcomes. Health Outcomes Research In Medicine 2011, 2: e91-e104. DOI: 10.1016/j.ehrm.2011.06.002.Peer-Reviewed Original ResearchChronic disease scoreHealth care utilizationElixhauser indexCare utilizationHealth-related quality of life comorbidity indexHealth care outcomesStandard adherenceHealth-related behaviorsHealth-related qualityPatient medication adherenceHealth care behaviorComorbidity indexPredicting hospital admissionMedical resource useCare outcomesMedication adherenceCaring behaviorsOutpatient visitsType 2 diabetesComorbidity indicatorsHospital admissionMedicaid patientsStudy designLogistic regressionHealthAsthma 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
2008
Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: A cross-sectional study of patient electronic records in primary care
Aguado A, Guinó E, Mukherjee B, Sicras A, Serrat J, Acedo M, Ferro J, Moreno V. Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: A cross-sectional study of patient electronic records in primary care. BMC Health Services Research 2008, 8: 53. PMID: 18318912, PMCID: PMC2292169, DOI: 10.1186/1472-6963-8-53.Peer-Reviewed Original ResearchConceptsPrescription quality indexPatient electronic recordsCase-mixPhysician-centeredElectronic recordsPharmacy costsPrimary care centersEpisode of careCase-mix adjustmentQuality of prescriptionsCost of prescriptionsCross-sectional studyQuality IndexIncreased prescription costsTwo-part modelDrug expendituresFamily physiciansProfile physiciansLinear mixed modelsPrescription costsProportion of variancePrescription drug expendituresPhysician expendituresLogistic regressionMultilevel structure of data
2007
Analysis of matched case–control data with multiple ordered disease states: possible choices and comparisons
Mukherjee B, Liu I, Sinha S. Analysis of matched case–control data with multiple ordered disease states: possible choices and comparisons. Statistics In Medicine 2007, 26: 3240-3257. PMID: 17206600, DOI: 10.1002/sim.2790.Peer-Reviewed Original ResearchConceptsConditional logistic regressionStratum-specific nuisance parametersCase-control dataAdjacent-category logit modelCase-control studyOrdered categorical dataConditional-likelihood approachLikelihood-based approachNuisance parametersProportional-odds modelCumulative logitsSimulation studyAnalyse such dataMantel-Haenszel approachCumulative logit modelNatural orderPotential risk factorsStages of cancerReference categoryCategorical dataLogistic regressionOrdinal natureEffect of potential risk factorsLow birthweightRisk factors