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
1992
Correction of Logistic Regression Relative Risk Estimates and Confidence Intervals for Random Within-Person Measurement Error
Rosner B, Spiegelman D, Willett WC. Correction of Logistic Regression Relative Risk Estimates and Confidence Intervals for Random Within-Person Measurement Error. American Journal Of Epidemiology 1992, 136: 1400-1413. PMID: 1488967, DOI: 10.1093/oxfordjournals.aje.a116453.Peer-Reviewed Original ResearchConceptsRelative risk estimatesRisk factorsLogistic regressionRisk estimatesCoronary risk factorsCoronary heart diseaseGold standardConfidence intervalsFramingham Heart StudyExamination 4Extreme quintilesHeart diseaseOdds ratioHeart StudyExamination 2Exposure assessmentSubstudyCovariatesMenMain studyReproducibility dataRegressionFactorsQuintileIncidence
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