2004
Commentary: Correlated errors and energy adjustment—where are the data?
Spiegelman D. Commentary: Correlated errors and energy adjustment—where are the data? International Journal Of Epidemiology 2004, 33: 1387-1388. PMID: 15333623, DOI: 10.1093/ije/dyh315.Peer-Reviewed Original Research
2001
HEpiMA: software for the identification of heterogeneity in meta-analysis
Costa-Bouzas J, Takkouche B, Cadarso-Suárez C, Spiegelman D. HEpiMA: software for the identification of heterogeneity in meta-analysis. Computer Methods And Programs In Biomedicine 2001, 64: 101-107. PMID: 11137192, DOI: 10.1016/s0169-2607(00)00087-0.Peer-Reviewed Original Research
2000
Adiposity and Mortality in Men
Baik I, Ascherio A, Rimm EB, Giovannucci E, Spiegelman D, Stampfer MJ, Willett WC. Adiposity and Mortality in Men. American Journal Of Epidemiology 2000, 152: 264-271. PMID: 10933273, DOI: 10.1093/aje/152.3.264.Peer-Reviewed Original ResearchConceptsBody mass indexRecent weight lossMeasures of adiposityCardiovascular diseaseGreater body mass indexWeight lossCardiovascular disease mortalityRisk of deathCancer mortality riskCause-specific mortalityExclusion of menLean menOverall mortalityWaist circumferenceMass indexDisease mortalityExcess mortalityRelative riskBody fatMortality riskUS menElevated riskOlder menHigh mortalityMortality
1999
Design of Validation Studies for Estimating the Odds Ratio of Exposure–Disease Relationships When Exposure is Misclassified
Holcroft C, Spiegelman D. Design of Validation Studies for Estimating the Odds Ratio of Exposure–Disease Relationships When Exposure is Misclassified. Biometrics 1999, 55: 1193-1201. PMID: 11315067, DOI: 10.1111/j.0006-341x.1999.01193.x.Peer-Reviewed Original ResearchMeSH KeywordsBiometryBreast NeoplasmsEpidemiologic MethodsFemaleHumansLeadLogistic ModelsModels, StatisticalOdds RatioReproducibility of ResultsConceptsOdds ratioEvaluation of a Population Roster as a Source of Population Controls: The Massachusetts Resident Lists
Bohlke K, Harlow B, Cramer D, Spiegelman D, Mueller N. Evaluation of a Population Roster as a Source of Population Controls: The Massachusetts Resident Lists. American Journal Of Epidemiology 1999, 150: 354-358. PMID: 10453811, DOI: 10.1093/oxfordjournals.aje.a010014.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedCase-Control StudiesEpidemiologic MethodsFemaleHumansMassachusettsMiddle AgedOdds RatioOvarian NeoplasmsRegistriesEvaluation of Old and New Tests of Heterogeneity in Epidemiologic Meta-Analysis
Takkouche B, Cadarso-Suárez C, Spiegelman D. Evaluation of Old and New Tests of Heterogeneity in Epidemiologic Meta-Analysis. American Journal Of Epidemiology 1999, 150: 206-215. PMID: 10412966, DOI: 10.1093/oxfordjournals.aje.a009981.Peer-Reviewed Original ResearchConceptsParametric bootstrap versionBootstrap versionLarge simulation studyCorrect type IStatistical powerComputational easeSimulation studyIdentification of heterogeneityHypothesis testQ statisticStudy varianceLow statistical powerNull hypothesisStatisticsPoint of viewBootstrapHomogeneity testVersionPowerDecision criteriaNew testBest choiceKey featuresEffect measuresVarianceMatrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons
Morrissey M, Spiegelman D. Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons. Biometrics 1999, 55: 338-344. PMID: 11318185, DOI: 10.1111/j.0006-341x.1999.00338.x.Peer-Reviewed Original Research
1997
Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs.
Spiegelman D, Casella M. Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs. Biometrics 1997, 53: 395-409. PMID: 9192443, DOI: 10.2307/2533945.Peer-Reviewed Original ResearchConceptsMain study/validation study designsSemi-parametric methodMeasurement error modelSemi-parametric estimatesCovariate measurement errorSemi-parametric regression modelEmpirical considerationsTrading efficiencyError modelInference proceedsConvenient mathematical propertiesMeasurement errorLikelihood functionModel choiceJoint likelihood functionValidation study designMisspecificationStandard theoryNonparametric formFamily of modelsImportant biasParametric resultsModel covariatesRegression modelsChoice
1989
Correction of logistic regression relative risk estimates and confidence intervals for systematic within‐person measurement error
Rosner B, Willett WC, Spiegelman D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within‐person measurement error. Statistics In Medicine 1989, 8: 1051-1069. PMID: 2799131, DOI: 10.1002/sim.4780080905.Peer-Reviewed Original ResearchMeSH KeywordsBiasBiometryBreast NeoplasmsDietary FatsEpidemiologic MethodsFemaleHumansLogistic ModelsProspective StudiesRegression AnalysisRisk FactorsConceptsLikelihood approximation methodApproximation methodLinear approximation methodSecond-order Taylor series expansionTaylor series expansionEstimation of lambdaMeasurement errorCoverage probabilitySeries expansionLikelihood estimationTrue odds ratioSimulation studyPerson measurement errorSystematic errorsRegression coefficientsErrorCoefficient betaCoefficient lambdaEstimationLogistic regression coefficientsLogistic functionEstimatesTrue exposure