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ID 67477
著者
Suzuki, Etsuji Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Kaken ID publons researchmap
Yamamoto, Eiji Okayama University of Science
抄録
One of the common errors in the calculation of the population attributable fraction (PAF) is the use of an adjusted risk ratio in the Levin formula. In this article, we discuss the errors visually using wireframes by varying the standardized mortality ratio (SMR) and associational risk ratio (aRR) when the prevalence of exposure is fixed. When SMR >1 and SMR > aRR, the absolute bias is positive, and its magnitude increases as the difference between SMR and aRR increases. By contrast, when aRR > SMR > 1, the absolute bias is negative and its magnitude is relatively small. Moreover, when SMR > aRR, the relative bias is larger than one, whereas when SMR < aRR, the relative bias is smaller than one. Although the target population of the PAF is the total population, the target of causation of the PAF is not the total population but the exposed group.
キーワード
Attributable fraction
Bias
Causality
Counterfactual model
Potential outcomes
備考
This is a non-final version of an article published in final form in Suzuki, Etsuji; Yamamoto, Eiji. Errors in the Calculation of the Population Attributable Fraction. Epidemiology 35(4):p 469-472, July 2024. | DOI: 10.1097/EDE.0000000000001731.
This fulltext file will be available in Jul 2025.
発行日
2024-07
出版物タイトル
Epidemiology
35巻
4号
出版者
Ovid Technologies (Wolters Kluwer Health)
開始ページ
469
終了ページ
472
ISSN
1044-3983
NCID
AA10832184
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2024 Wolters Kluwer Health, Inc.
論文のバージョン
author
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1097/ede.0000000000001731
Citation
Suzuki, Etsuji; Yamamoto, Eiji. Errors in the Calculation of the Population Attributable Fraction. Epidemiology 35(4):p 469-472, July 2024. | DOI: 10.1097/EDE.0000000000001731