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.
%0 Journal Article
%1 Wacholder1994
%A Wacholder, S
%A Benichou, J
%A Heineman, E F
%A Hartge, P
%A Hoover, R N
%D 1994
%J American Journal of Epidemiology
%K #ASBESTOS/ADVERSEEFFECTS;BIAS(EPIDEMIOLOGY);CA
%N 4
%P 303-309
%T Attributable risk: advantages of a broad definition of exposure published erratum appears in Am J Epidemiol 1994 Oct 1;140(7):668
%V 140
%X 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.
@article{Wacholder1994,
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.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Wacholder, S and Benichou, J and Heineman, E F and Hartge, P and Hoover, R N},
biburl = {https://www.bibsonomy.org/bibtex/2b1e16a70f28853b770ffedf4ca240e78/jepcastel},
interhash = {59f0e1a3c62b9e5c32495772c54f9bd3},
intrahash = {b1e16a70f28853b770ffedf4ca240e78},
journal = {American Journal of Epidemiology},
keywords = {#ASBESTOS/ADVERSEEFFECTS;BIAS(EPIDEMIOLOGY);CA},
note = {2571<m:linebreak></m:linebreak>Risc atribuïble},
number = 4,
pages = {303-309},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Attributable risk: advantages of a broad definition of exposure [published erratum appears in Am J Epidemiol 1994 Oct 1;140(7):668]},
volume = 140,
year = 1994
}