ID | 63039 |
フルテキストURL | |
著者 |
Suzuki, Etsuji
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 assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known approach to distinguishing causal from noncausal explanations is the nine Bradford Hill viewpoints. A recent article in this journal revisited the viewpoints to incorporate developments in causal thinking, suggesting that the sufficient cause model is useful in elucidating the theoretical underpinning of the first of the nine viewpoints—strength of association. In this article, we discuss how to discern the causal mechanisms of interest in the sufficient cause model, which pays closer attention to the relationship between the sufficient cause model and the Bradford Hill viewpoints. To this end, we explicate the link between the sufficient cause model and the potential-outcome model, both of which have become the cornerstone of causal thinking in epidemiology and biomedicine. A clearer understanding of the link between the two models provides significant implications for interpretation of the observed risks in the subpopulations defined by exposure and confounder. We also show that the concept of potential completion times of sufficient causes is useful to fully discerning completed sufficient causes, which leads us to pay closer attention to the fourth of the nine Bradford Hill viewpoints—temporality. Decades after its introduction, the sufficient cause model may be vaguely understood and thus implicitly used under unreasonably strict assumptions. To strengthen our assessment in the face of multifactorial causality, it is significant to carefully scrutinize the observed associations in a complementary manner, using the sufficient cause model as well as its relevant causal models.
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キーワード | Bradford Hill
Causal inference
Causal mechanisms
Counterfactual
Sufficient cause model
Potential-outcome model
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備考 | This is an Accepted Manuscript published by Springer Science.
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10654-021-00798-6 |
発行日 | 2021-9
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出版物タイトル |
European Journal of Epidemiology
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巻 | 36巻
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号 | 9号
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出版者 | Springer Science and Business Media LLC
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開始ページ | 899
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終了ページ | 908
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ISSN | 0393-2990
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NCID | AA10674491
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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 | © Springer Nature B.V. 2021
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論文のバージョン | author
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PubMed ID | |
DOI | |
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関連URL | isVersionOf https://doi.org/10.1007/s10654-021-00798-6
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Citation | Suzuki, E., Yamamoto, E. Strength in causality: discerning causal mechanisms in the sufficient cause model. Eur J Epidemiol 36, 899–908 (2021). https://doi.org/10.1007/s10654-021-00798-6
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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
JP18K10104
JP20K10499
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