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 designDiseaseIntakeImpact of the Affordable Care Act on Colorectal Cancer Incidence and Mortality
Lee C, Kushi LH, Reed ME, Eldridge EH, Lee JK, Zhang J, Spiegelman D. Impact of the Affordable Care Act on Colorectal Cancer Incidence and Mortality. American Journal Of Preventive Medicine 2021, 62: 387-394. PMID: 34763959, PMCID: PMC8863627, DOI: 10.1016/j.amepre.2021.08.025.Peer-Reviewed Original ResearchConceptsColorectal cancer-related mortalityColorectal cancer incidenceCancer-related mortalityColorectal cancer outcomesAffordable Care ActCancer incidenceColorectal cancerCancer outcomesCare ActKaiser Permanente Northern California membersHealth plansColorectal cancer screeningInterrupted time series designRace/ethnicityCancer screeningCalifornia membersPreventive servicesPrivate health insurancePocket costsMortalityTime series designIncidenceCost sharingCancerComparison group
2020
Integrating and Interpreting Findings from the Latest Treatment as Prevention Trials
Brault MA, Spiegelman D, Abdool Karim SS, Vermund SH. Integrating and Interpreting Findings from the Latest Treatment as Prevention Trials. Current HIV/AIDS Reports 2020, 17: 249-258. PMID: 32297219, PMCID: PMC7260110, DOI: 10.1007/s11904-020-00492-4.Peer-Reviewed Original ResearchEstimation 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
2008
Relations of dietary type of protein, glutamine, and glutamate to the incidence of type 2 diabetes mellitus among middle‐aged women
Lenders C, HU F, Willett W, Douglas W, Sampson L, Dougherty L, Spiegelman D, Liu S. Relations of dietary type of protein, glutamine, and glutamate to the incidence of type 2 diabetes mellitus among middle‐aged women. The FASEB Journal 2008, 22: 299.5-299.5. DOI: 10.1096/fasebj.22.1_supplement.299.5.Peer-Reviewed Original ResearchMiddle-aged womenCereal fiberType 2 diabetes mellitusTotal proteinMultivariate modelModest inverse relationFood frequency questionnaireIncidence of diabetesMajor chronic diseasesProportional hazards modelFrequency questionnaireDiabetes mellitusIncident casesChronic diseasesT2DMDietary habitsHazards modelLifestyle variablesNew casesDietary typesIncidenceWomenInverse relationStudy findingsGlutamine
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
2000
Polymorphic repeat in AIB1 does not alter breast cancer risk
Haiman C, Hankinson S, Spiegelman D, Colditz G, Willett W, Speizer F, Brown M, Hunter D. Polymorphic repeat in AIB1 does not alter breast cancer risk. Breast Cancer Research 2000, 2: 378. PMID: 11056690, PMCID: PMC13920, DOI: 10.1186/bcr82.Peer-Reviewed Original ResearchConceptsBreast cancer riskHealth Study cohortCancer riskPostmenopausal breast cancer riskNurses' Health Study cohortBreast cancer incidenceCase-control studySpecific tumor characteristicsAIB1 genotypeStudy cohortTumor characteristicsCancer incidenceCaucasian womenGeneral populationAIB1Repeat polymorphismRiskAssociationCohortIncidenceGenotypesWomen
1998
Retrospective Analysis of Birth Weight and Prostate Cancer in the Health Professionals Follow-up Study
Platz E, Giovannucci E, Rimm E, Curhan G, Spiegelman D, Colditz G, Willett W. Retrospective Analysis of Birth Weight and Prostate Cancer in the Health Professionals Follow-up Study. American Journal Of Epidemiology 1998, 147: 1140-1144. PMID: 9645792, DOI: 10.1093/oxfordjournals.aje.a009412.Peer-Reviewed Original ResearchConceptsHealth Professionals FollowBirth weightProstate cancerProfessionals FollowProstate cancer incidenceMultivariate logistic modelModest positive associationGrade tumorsProstatic cancerCancer incidenceRelative riskRetrospective analysisOverall associationCancerPositive associationFollowAssociationLogistic modelWeightTumorsIncidence
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