2024
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
Tang W, Spiegelman D, Liao X, Wang M. Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure. Epidemiology 2024, 35: 320-328. PMID: 38630507, DOI: 10.1097/ede.0000000000001706.Peer-Reviewed Original ResearchConceptsMismeasured exposureOutcome modelRegression calibrationMeasurement error modelSelection of covariatesNonparametric settingEffect modificationCovariate adjustmentFiber intakeMeasurement errorCardiovascular diseaseEffects of fiber intakeStudy datasetOutcomesCovariatesComprehensive guidanceError modelRegressionHealthEfficiency lossErrorRosnerWillettExposureAdjustment
2023
Mediation analysis in the presence of continuous exposure measurement error
Cheng C, Spiegelman D, Li F. Mediation analysis in the presence of continuous exposure measurement error. Statistics In Medicine 2023, 42: 1669-1686. PMID: 36869626, PMCID: PMC11320713, DOI: 10.1002/sim.9693.Peer-Reviewed Original ResearchConceptsBody mass indexExposure measurement errorPhysical activityMediation proportionHealth Professionals FollowCardiovascular disease incidenceProfessionals FollowMediation analysisMass indexCardiovascular diseaseLower riskStudy designEffect estimatesValidation study designContinuous exposureBiased effect estimatesTrue exposureMediatorsExposureValidation studyBinary outcomesHealth science studiesOutcomesRiskDisease incidence
2021
A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design
Chen X, Chang J, Spiegelman D, Li F. A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design. Statistical Methods In Medical Research 2021, 31: 404-418. PMID: 34841964, DOI: 10.1177/09622802211060514.Peer-Reviewed Original ResearchConceptsPotential impact fractionImpact fractionExposure measurement errorHealth professionalsStudy designColorectal cancer incidenceValidation study designBurden of diseaseRisk factorsCancer incidenceHealth StudyDisease casesPublic health studiesRed meatContinuous exposureExposureProfessionalsIncidenceReclassification approachValidation designDiseaseIntake
2018
The effect of risk factor misclassification on the partial population attributable risk
Wong BHW, Peskoe SB, Spiegelman D. The effect of risk factor misclassification on the partial population attributable risk. Statistics In Medicine 2018, 37: 1259-1275. PMID: 29333614, PMCID: PMC6003717, DOI: 10.1002/sim.7559.Peer-Reviewed Original ResearchConceptsPartial population attributable riskPopulation attributable riskRisk factorsAttributable riskRelative riskMultivariate-adjusted relative riskRed meatHealth Professionals FollowModifiable risk factorsLow folate intakeExposure of interestBackground risk factorsProfessionals FollowAlcohol intakeColorectal cancerFolate intakePublic health researchMultifactorial diseasePreventive interventionsPopulation-level impactJoint prevalenceHealth researchRiskIntakeExposure
2011
AN APPLICATION OF A RISK SET CALIBRATION METHOD TO A STUDY OF AIR POLLUTION EFFECTS ON ALL CAUSE MORTALITY IN THE NURSES’ HEALTH STUDY
Liao X, Spiegelman D, Hart J, Hong B, Puett R, Suh H, Laden F. AN APPLICATION OF A RISK SET CALIBRATION METHOD TO A STUDY OF AIR POLLUTION EFFECTS ON ALL CAUSE MORTALITY IN THE NURSES’ HEALTH STUDY. ISEE Conference Abstracts 2011, 2011 DOI: 10.1289/isee.2011.00990.Peer-Reviewed Original ResearchCause mortalityRelative riskHealth StudyChronic exposureChronic PM2.5 exposureNurses' Health StudyIndividual exposure levelsAverage of PM2.5Risk factorsExposure measurement errorState of residenceEstimates of riskParticipants' residencesPM2.5 exposureHealth outcomesMortalityMonthly exposureExposure levelsPersonal exposureExposure monitoringRiskCalendar yearAir pollution effectsExposureMidwestern metropolitan area
2009
Power and sample size calculations for longitudinal studies comparing rates of change with a time‐varying exposure
Basagaña X, Spiegelman D. Power and sample size calculations for longitudinal studies comparing rates of change with a time‐varying exposure. Statistics In Medicine 2009, 29: 181-192. PMID: 19899065, PMCID: PMC3772653, DOI: 10.1002/sim.3772.Peer-Reviewed Original Research
2007
Point and interval estimates of partial population attributable risks in cohort studies: examples and software
Spiegelman D, Hertzmark E, Wand HC. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Causes & Control 2007, 18: 571-579. PMID: 17387622, DOI: 10.1007/s10552-006-0090-y.Peer-Reviewed Original ResearchConceptsCohort studyRisk factorsPartial population attributable riskNon-modifiable risk factorsSpecific exposuresPopulation attributable risk percentAttributable risk percentPopulation attributable riskBladder cancer incidenceGroups of exposureTarget populationProportion of diseaseAttributable riskDisease burdenModifiable determinantsCancer incidencePublic health researchDiseaseHealth researchExposurePopulationIncidenceProportion
2003
Occupational exposure to methyl tertiary butyl ether in relation to key health symptom prevalence: the effect of measurement error correction
Keshaviah A, Weller E, Spiegelman D. Occupational exposure to methyl tertiary butyl ether in relation to key health symptom prevalence: the effect of measurement error correction. Environmetrics 2003, 14: 573-582. DOI: 10.1002/env.604.Peer-Reviewed Original ResearchEffect of MTBEHealth symptomsStudy participantsJob categoriesSmoking statusSerum concentrationsBlood concentrationsHealth outcomesMTBE exposureEye irritationSignificant associationSymptomsMethyl tertiary butyl etherAvailable dataPrevalenceExposureExposure effectsParticipantsLow levelsHeadacheRegression calibration methodIrritation
1997
Statistical issues in assessing human population exposures
Weller E, Ryan L, Spiegelman D, Smith T. Statistical issues in assessing human population exposures. Chemometrics And Intelligent Laboratory Systems 1997, 37: 189-195. DOI: 10.1016/s0169-7439(97)00003-8.Peer-Reviewed Original ResearchDose-response relationshipStatistical issuesExposure-dose relationshipsMeasurement error problemsPrimary scientific interestHealth effectsStatistical aspectsStatistical methodsEnvironmental epidemiology studiesHealth outcomesEpidemiology studiesHuman population exposureExposure levelsMeasurement errorExposure assessmentError problemDirect applicationWelding fumesLoss of efficiencyExposureOutcomesPopulation exposureDose
1985
Occupation-Related Risks for Colorectal Cancer
Spiegelman D, Wegman D. Occupation-Related Risks for Colorectal Cancer. Journal Of The National Cancer Institute 1985, 75: 813-821. PMID: 3863984, DOI: 10.1093/jnci/75.5.813.Peer-Reviewed Original ResearchConceptsColorectal cancerNational Occupational Hazard SurveyNutrition Examination Survey dataColon cancer riskOccupation-related risksHigh exposureMenopausal statusDietary factorsRisk factorsNational HealthPopulation data basesCancer controlFemale casesCancer riskWork exposureLogistic analysisWorkplace exposuresWork-related stressNational InstituteOccupational SafetyCancerExposureHazard SurveyRiskMales