Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving derived variables and compositional data

Berrie, L., Arnold, K.F., Tomova, G.D. orcid.org/0000-0003-1984-8055 et al. (2 more authors) (2024) Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving derived variables and compositional data. American Journal of Epidemiology. kwae153. ISSN 0002-9262

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Causal inference, directed acyclic graphs, compositional data, derived variables, composite variables, tautological associations
Dates:
  • Published (online): 24 June 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Jul 2024 09:36
Last Modified: 05 Jul 2024 09:36
Status: Published online
Publisher: Oxford University Press
Identification Number: 10.1093/aje/kwae153
Related URLs:
Open Archives Initiative ID (OAI ID):

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