2021
DOI: 10.1097/ede.0000000000001411
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Marginal Sufficient Component Cause Model

Abstract: For decades, the sufficient cause model and the counterfactual model have shaped our understanding of causation in biomedical science, and the link between these two models has enabled us to obtain a deeper understanding of causality. Recently, a new causal model-the marginal sufficient component cause model-was proposed and applied in the context of interaction or mediation. The proponents of this model have emphasized its utility in visualizing the presence of "agonism" (a subtype of mechanistic interaction)… Show more

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Cited by 3 publications
(2 citation statements)
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“…Regarding the article by Suzuki and Yamamoto in the November 2021 issue, 1 the following misprints were introduced during typesetting that were discovered after publication. In the legend of Figure 1, the third and the fourth sentences should read: “We let falseA¯ denote the complement of A in the terminology of events.…”
mentioning
confidence: 99%
“…Regarding the article by Suzuki and Yamamoto in the November 2021 issue, 1 the following misprints were introduced during typesetting that were discovered after publication. In the legend of Figure 1, the third and the fourth sentences should read: “We let falseA¯ denote the complement of A in the terminology of events.…”
mentioning
confidence: 99%
“…A third potential explanation for subadditivity is “competing antagonism,” also known as “agonism.” Under the potential outcomes model, the competing antagonism mechanism arises when either exposure (such as depression and the comorbid condition) will cause disease (suicide) when the other exposure is absent, but one of the exposures cannot have an effect on the outcome once the other exposure is present because they compete to cause the outcome. 23–25 Since each exposure affects the outcome only in the absence of the other, the estimate for the exposures together is less than the sum of either exposure considered separately. Competing antagonism may explain subadditivity of the joint effects of obesity and smoking on all-cause mortality 26 and also subadditivity of the joint effects of Hepatitis B and Hepatitis C viruses infection on liver cancer.…”
mentioning
confidence: 99%