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
2011
Lead exposure and visual-motor abilities in children from Chennai, India
Palaniappan K, Roy A, Balakrishnan K, Gopalakrishnan L, Mukherjee B, Hu H, Bellinger D. Lead exposure and visual-motor abilities in children from Chennai, India. NeuroToxicology 2011, 32: 465-470. PMID: 21510976, PMCID: PMC3115626, DOI: 10.1016/j.neuro.2011.03.011.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsBiomarkersChildChild BehaviorChild DevelopmentChild, PreschoolCross-Sectional StudiesDeveloping CountriesEnvironmental ExposureEnvironmental PollutantsFemaleHumansIndiaLeadLead Poisoning, Nervous System, ChildhoodLinear ModelsMaleNeuropsychological TestsPsychomotor PerformanceRisk AssessmentRisk FactorsSocioeconomic FactorsConceptsHigher blood lead levelsBlood lead levelsEducation levelMotor Ability TestUrban Indian childrenVisual-motor abilitiesCross-sectional studyMother's education levelFather's education levelAverage monthly incomeIndian childrenVisuo-motor developmentLead levelsMotor composite scoresMean blood lead levelLead exposureVisual-motorMonthly incomeDose-effect relationshipVisual-motor integrationComposite scoreSchool children
2009
Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey
Park S, Mukherjee B, Xia X, Sparrow D, Weisskopf M, Nie H, Hu H. Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey. Journal Of Occupational And Environmental Medicine 2009, 51: 1422-1436. PMID: 19952788, PMCID: PMC2939477, DOI: 10.1097/jom.0b013e3181bf6c8d.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBone and BonesBostonCohort StudiesEnvironmental ExposureFemaleHumansHypertensionLeadLongitudinal StudiesMaleMiddle AgedNutrition SurveysPatellaRadiographyRegression AnalysisRisk AssessmentRisk FactorsSpectrometry, X-Ray EmissionTibiaUnited StatesUnited States Department of Veterans AffairsYoung AdultConceptsNational Health and Nutrition Examination SurveyThird National Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyCommunity-based cohortPatella leadExamination SurveyCohort of older menCommunity-based cohort of older menK X-ray fluorescenceNHANES-IIISignificant associationBlood lead levelsOlder menStandard covariatesPatellaExternal validationCorrelation coefficientBlood leadLead exposureTibiaLead levelsAssociationSurveyLead studies