On the collapsibility of measures of effect in the counterfactual causal framework

Anders Huitfeldt, Mats J. Stensrud, Etsuji Suzuki

研究成果査読

32 被引用数 (Scopus)

抄録

The relationship between collapsibility and confounding has been subject to an extensive and ongoing discussion in the methodological literature. We discuss two subtly different definitions of collapsibility, and show that by considering causal effect measures based on counterfactual variables (rather than measures of association based on observed variables) it is possible to separate out the component of non-collapsibility which is due to the mathematical properties of the effect measure, from the components that are due to structural bias such as confounding. We provide new weights such that the causal risk ratio is collapsible over arbitrary baseline covariates. In the absence of confounding, these weights may be used for standardization of the risk ratio.

本文言語English
論文番号1
ジャーナルEmerging Themes in Epidemiology
16
1
DOI
出版ステータスPublished - 1月 7 2019

ASJC Scopus subject areas

  • 疫学

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