2024
Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators
Han P, Li H, Park S, Mukherjee B, Taylor J. Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators. Biometrics 2024, 80: ujae072. PMID: 39101548, PMCID: PMC11299067, DOI: 10.1093/biomtc/ujae072.Peer-Reviewed Original ResearchConceptsJames-Stein estimatorLinear regression modelsIndividual-level dataComprehensive simulation studyRegression modelsNumerical performanceSimulation studyShrinkage methodCoefficient estimatesPredictive meanReduced modelStudy population heterogeneityInternal modelEstimationStudy populationBlood lead levelsInternational studiesCovariatesPatella bonePublished literatureLead levelsExternal studiesSummary informationPopulationSubsets
2022
Race-specific associations of urinary phenols and parabens with adipokines in midlife women: The Study of Women's Health Across the Nation (SWAN)
Lee S, Karvonen-Gutierrez C, Mukherjee B, Herman W, Park S. Race-specific associations of urinary phenols and parabens with adipokines in midlife women: The Study of Women's Health Across the Nation (SWAN). Environmental Pollution 2022, 303: 119164. PMID: 35306088, PMCID: PMC9883839, DOI: 10.1016/j.envpol.2022.119164.Peer-Reviewed Original ResearchConceptsStudy of Women's HealthBayesian kernel machine regressionWomen's HealthLeptin levelsBlack womenAssociated with lower leptinAssociated with favorable profilesAsian womenSoluble leptin receptorRacial differencesRace-specific associationsUrinary phenolCross-sectional associationsNo significant associationObesity-related metabolic diseasesLog-transformed levelsSOB-RKernel machine regressionSerum adipokinesMetabolic disease burdenEffect modificationNation Multi-Pollutant StudyLow leptinLeptin receptorLinear regression models
2020
Urinary metals and adipokines in midlife women: The Study of Women's Health Across the nation (SWAN)
Wang X, Karvonen-Gutierrez C, Mukherjee B, Herman W, Park S. Urinary metals and adipokines in midlife women: The Study of Women's Health Across the nation (SWAN). Environmental Research 2020, 196: 110426. PMID: 33157106, PMCID: PMC8093324, DOI: 10.1016/j.envres.2020.110426.Peer-Reviewed Original ResearchConceptsStudy of Women's HealthWomen's HealthExposure to cadmiumUrinary metal concentrationsUrinary molybdenumMetal concentrationsMetal exposureSOB-RUrinary metalsNation Multi-Pollutant StudyAssociated with favorable profilesStandard deviation increaseCadmiumLinear regression modelsAdverse adipokine profileMidlife womenLevels of sOB-RHMW adiponectinUrinary cesiumFollow-up visitHuman populationSoluble leptin receptorAdaptive elastic-netSOB-R levelsMetalInteraction 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
Interactions between chemicals and non-chemical stressors: The modifying effect of life events on the association between triclocarban, phenols and parabens with gestational length in a Puerto Rican cohort
Aker A, McConnell R, Loch-Caruso R, Park S, Mukherjee B, Rosario Z, Vélez-Vega C, Huerta-Montanez G, Alshawabkeh A, Cordero J, Meeker J. Interactions between chemicals and non-chemical stressors: The modifying effect of life events on the association between triclocarban, phenols and parabens with gestational length in a Puerto Rican cohort. The Science Of The Total Environment 2019, 708: 134719. PMID: 31785910, PMCID: PMC6957748, DOI: 10.1016/j.scitotenv.2019.134719.Peer-Reviewed Original ResearchConceptsLife eventsLinear regression modelsMultiple linear regression modelNegative life eventsPresence of negative life eventsPsychosocial stress measuresAdverse birth outcomesPregnancy cohort studyRegression modelsEffects of psychosocial stressPsychosocial factorsNon-chemical stressorsBirth outcomesEffects of life eventsCohort studyPsychosocial stressPositive LEsPositive life eventsExposure biomarkersSignificant modifiersPrenatal exposureSignificant interactionWomenAssociationRate of events
2018
Improving estimation and prediction in linear regression incorporating external information from an established reduced model
Cheng W, Taylor J, Vokonas P, Park S, Mukherjee B. Improving estimation and prediction in linear regression incorporating external information from an established reduced model. Statistics In Medicine 2018, 37: 1515-1530. PMID: 29365342, PMCID: PMC5889759, DOI: 10.1002/sim.7600.Peer-Reviewed Original ResearchConceptsOutcome variable YEfficiency of estimationApproximate Bayesian inferenceBayes solutionVariable YNonlinear constraintsInferential frameworkVariable BE(Y|XImprove inferenceBayesian inferenceEffective computational methodParameter spaceReduced modelImproved estimatesLinear regression modelsTransformation approachStandard errorDunsonInferenceEstimationRegression modelsProblemCovariatesSpace