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Attributable risk: advantages of a broad definition of exposure
S Wacholder1, J Benichou, E F Heineman
1Epidemiology and Biostatistics Program, National Cancer Institute, Rockville, MD.
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.