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
2019
Stakeholder Engagement in Planning the Design of a National Needs Assessment for Cardiovascular Disease Prevention and Management in Nepal
Archana S, Karmacharya BM, Rashmi M, Abhinav V, Meghnath D, Natalia O, Rajeev S, Prajjwal P, Annette F, David C, Swornim B, Roman XD, Donna S, Rajendra K. Stakeholder Engagement in Planning the Design of a National Needs Assessment for Cardiovascular Disease Prevention and Management in Nepal. Global Heart 2019, 14: 181-189. PMID: 31324373, PMCID: PMC7003959, DOI: 10.1016/j.gheart.2019.05.002.Peer-Reviewed Original Research
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
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
1998
Correcting for bias in relative risk estimates due to exposure measurement error: a case study of occupational exposure to antineoplastics in pharmacists.
Spiegelman D, Valanis B. Correcting for bias in relative risk estimates due to exposure measurement error: a case study of occupational exposure to antineoplastics in pharmacists. American Journal Of Public Health 1998, 88: 406-12. PMID: 9518972, PMCID: PMC1508329, DOI: 10.2105/ajph.88.3.406.Peer-Reviewed Original ResearchConceptsMeasurement error modelInterval estimatesExposure measurement errorMeasurement errorError modelPrevalence ratiosRelative riskLikelihood-based methodsLog relative riskNondifferential measurement errorStatistical methodsRelative risk estimatesOutcomes of interestOccupational exposurePublic health researchHospital pharmacistsLogistic regressionRisk estimatesWeekly numberFirst methodHealth effectsUsual pointHealth researchErrorPharmacists