The attributable risk is the difference between the risk encountered by individuals exposed to a particular factor and the risk encountered by individuals who are not exposed to it. This is the opposite to avoidable risk. It measures the absolute effect of a cause (that is, the excess risk or cases of illness).
HISTORY
See risk.
MATHEMATICAL ASPECTS
By definition we have:
DOMAINS AND LIMITATIONS
The confidence interval of an attributable risk is equivalent to the confidence interval of the difference between the proportions \( { p_{\text{E}} } \) and \( { p_{\text{NE}} } \), where \( { p_{\text{E}} } \) and \( { p_{\text{NE}} } \) represent the risks encountered by individuals exposed and not exposed to the studied factor, respectively. Take \( { n_{\text{E}} } \) and n NE to be, respectively, the size of the exposed and nonexposed populations. Then,...
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REFERENCES
Cornfield, J.: A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast, and cervix. J. Natl. Cancer Inst. 11, 1269–75 (1951)
Lilienfeld, A.M., Lilienfeld, D.E.: Foundations of Epidemiology, 2nd edn. Clarendon, Oxford (1980)
MacMahon, B., Pugh, T.F.: Epidemiology: Principles and Methods. Little Brown, Boston, MA (1970)
Morabia, A.: Epidemiologie Causale. Editions Médecine et Hygiène, Geneva (1996)
Morabia, A.: L'Épidémiologie Clinique. Editions “Que sais-je?”. Presses Universitaires de France, Paris (1996)
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(2008). Attributable Risk. In: The Concise Encyclopedia of Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-32833-1_16
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DOI: https://doi.org/10.1007/978-0-387-32833-1_16
Publisher Name: Springer, New York, NY
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