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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:

$$ \begin{aligned} \text{attributable risk} = \text{risk for those exposed}\\ - \text{risk for those not exposed}\:. \end{aligned} $$

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

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© 2008 Springer-Verlag

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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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