title: Attributable risk: advantages of a broad definition of exposure.
abstract: Classification of exposure into two levels--one consisting exclusively of unexposed individuals and the other consisting of exposed and perhaps unexposed ones--yields an unbiased estimate of attributable risk when misclassification is nondifferential. The authors advocate, therefore, the use of a broad definition of exposure when estimating attributable risk. Based on this idea, they justify a simple and robust method for estimating the overall attributable risk from several exposures that is based on a division of subjects into two groups, a baseline consisting of those unexposed to all exposures and everyone else.
authors.affiliation: Epidemiology and Biostatistics Program, National Cancer Institute, Rockville, MD.
authors.forename: S
authors.initials: S
authors.lastname: Wacholder
authors.forename: J
authors.initials: J
authors.lastname: Benichou
authors.forename: E F
authors.initials: EF
authors.lastname: Heineman
authors.forename: P
authors.initials: P
authors.lastname: Hartge
authors.forename: R N
authors.initials: RN
authors.lastname: Hoover
mesh_terms: D001194:Asbestos / Q000009:adverse effects*; D015982:Bias; D016022:Case-Control Studies; D006801:Humans; D016013:Likelihood Functions; D008654:Mesothelioma / Q000139:chemically induced* / Q000145:classification / Q000453:epidemiology*; D016273:Occupational Exposure / Q000145:classification*; D016017:Odds Ratio; D012307:Risk Factors
chemical_list: D001194:Asbestos