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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
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.
キーワード
Bradford Hill
Causal inference
Causal mechanisms
Counterfactual
Sufficient cause model
Potential-outcome model
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
出版物タイトル
European Journal of Epidemiology
36巻
9号
出版者
Springer Science and Business Media LLC
開始ページ
899
終了ページ
908
ISSN
0393-2990
NCID
AA10674491
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
© Springer Nature B.V. 2021
論文のバージョン
author
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1007/s10654-021-00798-6
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
助成機関名
Japan Society for the Promotion of Science
助成番号
JP20K10471
JP18K10104
JP20K10499