2024
Exposure measurement error in air pollution health effect studies: A pooled analysis of personal exposure validation studies across the US
Zhang B, Eum K, Szpiro A, Zhang N, Hernández Ramírez R, Spiegelman D, Suh H. Exposure measurement error in air pollution health effect studies: A pooled analysis of personal exposure validation studies across the US. ISEE Conference Abstracts 2024, 2024 DOI: 10.1289/isee.2024.0981.Peer-Reviewed Original Research
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
2022
Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error
Kirkpatrick S, Troiano R, Barrett B, Cunningham C, Subar A, Park Y, Bowles H, Freedman L, Kipnis V, Rimm E, Willett W, Potischman N, Spielgelman D, Baer D, Schoeller D, Dodd K. Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error. American Journal Of Epidemiology 2022, 191: kwac026-. PMID: 35136928, PMCID: PMC9393065, DOI: 10.1093/aje/kwac026.Peer-Reviewed Original ResearchConceptsFood frequency questionnaireSingle food frequency questionnaireDietary assessment instrumentsFood recordsTrue usual intakeFrequency questionnaireUsual intakeAssessment instrumentsRecovery biomarkersEpidemiologic researchCorrelation coefficientValidation studyAverage attenuationCohortStudyIntakeBiomarkers
2020
Estimation and inference for the population attributable risk in the presence of misclassification
Wong BHW, Lee J, Spiegelman D, Wang M. Estimation and inference for the population attributable risk in the presence of misclassification. Biostatistics 2020, 22: 805-818. PMID: 32112073, PMCID: PMC8966954, DOI: 10.1093/biostatistics/kxz067.Peer-Reviewed Original ResearchConceptsPopulation attributable riskAttributable riskPartial population attributable riskHigh red meat intakeColorectal cancer incidenceRed meat intakeAlcohol intakeRisk factorsCancer incidenceMeat intakeEpidemiologic studiesPublic health researchDisease casesStudy designValidation study designInternal validation studyHealth researchTarget populationIntakeValidation studyRiskHealth evaluation methodPresence of misclassificationIncidenceDisease
2014
Validation Study: Introduction
Spiegelman D. Validation Study: Introduction. 2014 DOI: 10.1002/9781118445112.stat07791.Peer-Reviewed Original Research
1997
Regression calibration method for correcting measurement-error bias in nutritional epidemiology
Spiegelman D, McDermott A, Rosner B. Regression calibration method for correcting measurement-error bias in nutritional epidemiology. American Journal Of Clinical Nutrition 1997, 65: s1179-s1186. PMID: 9094918, DOI: 10.1093/ajcn/65.4.1179s.Peer-Reviewed Original ResearchConceptsHealth StudyDietary intakeMassachusetts Women's Health StudyUltradistal radius bone densityCox proportional hazards modelRadius bone densityNurses' Health StudyWomen's Health StudyIncidence rate ratiosRate ratioProportional hazards modelOdds ratioBone densityBreast cancerHazards modelVitamin ANutritional epidemiologyLogistic regressionGold standardLinear regression modelsEpidemiologyIntakeRegression modelsValidation studyPerson error
1991
Cost-efficient study designs for binary response data with Gaussian covariate measurement error.
Spiegelman D, Gray R. Cost-efficient study designs for binary response data with Gaussian covariate measurement error. Biometrics 1991, 47: 851-69. PMID: 1789885, DOI: 10.2307/2532644.Peer-Reviewed Original ResearchConceptsStudy designValidation studyEpidemiologic cohort studiesOverall sample sizeExposure measurementsCohort studyOutcome ascertainmentRelative riskExposure measurement methodsSample of subjectsExposure variablesOptimal study designDisease frequencySample sizeInternal validation studyExposure assessmentValidation substudySubjectsPrimary investigationBest methodProportionSubstudyStudy
1990
CORRECTION OF LOGISTIC REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE INTERVALS FOR MEASUREMENT ERROR: THE CASE OF MULTIPLE COVARIATES MEASURED WITH ERROR
ROSNER B, SPIEGELMAN D, WILLETT WC. CORRECTION OF LOGISTIC REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE INTERVALS FOR MEASUREMENT ERROR: THE CASE OF MULTIPLE COVARIATES MEASURED WITH ERROR. American Journal Of Epidemiology 1990, 132: 734-745. PMID: 2403114, DOI: 10.1093/oxfordjournals.aje.a115715.Peer-Reviewed Original ResearchConceptsAge-adjusted relative riskRelative riskRisk factorsFat intakeMultiple logistic regression modelBreast cancer riskConfidence intervalsTrue risk factorRelative risk estimatesValidation studyLogistic regression modelsMultivariate linear regression modelRegression modelsAlcohol intakeProspective studyDietary fatBreast cancerCancer riskLogistic regressionRisk estimatesIntakeRiskSeparate validation studyContinuous variablesPositive association