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Article

Bounds on causal interactions for binary outcomes.

Biometrics - 1 Sept 2014

Sjölander A, Lee W, Källberg H, Pawitan Y

Abstract excerpt

A common goal of epidemiologic research is to study how two exposures interact in causing a binary outcome. Causal interaction is defined as the presence of subjects for which the causal effect of one exposure depends on the level of the other exposure. For binary exposures, it has previously been shown that the presence of causal interaction is testable through additive statistical interaction. However, it has...

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PMID: 24621448
DOI: 10.1111/biom.12166

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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