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
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