ID | 64975 |
フルテキストURL | |
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
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抄録 | The attributable fraction (population) has attracted much attention from a theoretical perspective and has been used extensively to assess the impact of potential health interventions. However, despite its extensive use, there is much confusion about its concept and calculation methods. In this article, we discuss the concepts of and calculation methods for the attributable fraction and related measures in the counterfactual framework, both with and without stratification by covariates. Generally, the attributable fraction is useful when the exposure of interest has a causal effect on the outcome. However, it is important to understand that this statement applies to the exposed group. Although the target population of the attributable fraction (population) is the total population, the causal effect should be present not in the total population but in the exposed group. As related measures, we discuss the preventable fraction and prevented fraction, which are generally useful when the exposure of interest has a preventive effect on the outcome, and we further propose a new measure called the attributed fraction. We also discuss the causal and preventive excess fractions, and provide notes on vaccine efficacy. Finally, we discuss the relations between the aforementioned six measures and six possible patterns using a conceptual schema.
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キーワード | attributable fraction
counterfactual model
excess fraction
preventable fraction
prevented fraction
vaccine efficacy
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発行日 | 2023-02-24
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出版物タイトル |
Journal of Causal Inference
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巻 | 11巻
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号 | 1号
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出版者 | De Gruyter
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ISSN | 2193-3677
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © 2023 the author(s)
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論文のバージョン | publisher
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DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.1515/jci-2021-0068
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ライセンス | https://creativecommons.org/licenses/by/4.0/
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Citation | Suzuki, Etsuji and Yamamoto, Eiji. "Attributable fraction and related measures: Conceptual relations in the counterfactual framework" Journal of Causal Inference, vol. 11, no. 1, 2023, pp. 20210068. https://doi.org/10.1515/jci-2021-0068
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助成機関名 |
Japan Society for the Promotion of Science
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助成番号 | JP20K10471
JP19KK0418
JP20K10499
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