Year: 2019
Type: article
Abstract: 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.
Source: Emerging Themes in Epidemiology
Authors: Anders Huitfeldt, Mats J. Stensrud, Etsuji Suzuki
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G1300278667, Short-term and long-term health effects of transboundary air pollution (Asian dust) in East Asian regions., G3768081400, Evaluation of the effects of Asian dust on health outcomes in East Asian countries: Its double role as a direct cause and as an effect modifier, Identification of mechanisms of health inequalities from life-course perspective and global comparison: strategies to tackle health inequalities, G6166033312
OpenAlex ID: W2529010631