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Population attributable fraction

Open access
Mansournia, Mohammad Ali, Altman, Douglas G·2018·BMJ

Abstract

Much statistical analysis seeks to identify associations between exposures and outcomes. The population attributable fraction (PAF) is an epidemiologic measure widely used to assess the public health impact of exposures in populations. PAF is defined as the fraction of all cases of a particular disease or other adverse condition in a population that is attributable to a specific exposure; PAF equals (O − E)/O, where O and E refer to the observed number of cases and the expected number of cases under no exposure, respectively. The term “attributable” has a causal interpretation: PAF is the estimated fraction of all cases that would not have occurred if there had been no exposure.1 As an example, in early 1950,2 Doll derived O = 11189 and E = 1875 using the Doll and Hill case-control study of smoking and lung cancer deaths throughout England and Wales,3 so the smoking PAF for lung cancer deaths was (11189 − 1875)/11189 = 83%. Using a cohort study, following Miettinen, we can estimate the PAF from …

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Metadata

Authors
Mansournia, M. A., & Altman, D. G.
Venue
BMJ
Publisher
BMJ
Published
2018-02-22
Volume
360
Pages
k757
ISSN
  • 1756-1833 (ISSN-L)
  • 0959-8138
OpenAlex
W2789770860
Cited by
475
References
1
FWCI
23.99
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Population attributable fraction. https://app.cochat.ai/papers/10.1136/bmj.k757
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Mansournia, M. A., & Altman, D. G. (2018). Population attributable fraction. BMJ. https://doi.org/10.1136/bmj.k757

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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