A causal inference perspective on the analysis of compositional data

Arnold, KF orcid.org/0000-0002-0911-5029, Berrie, L orcid.org/0000-0003-3550-5087, Tennant, PWG et al. (1 more author) (2020) A causal inference perspective on the analysis of compositional data. International Journal of Epidemiology, 49 (4). pp. 1307-1313. ISSN 0300-5771

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Copyright, Publisher and Additional Information: © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Compositional data, collider bias, relative effects, joint effects, causal inference, directed acyclic graphs
Dates:
  • Published: August 2020
  • Accepted: 22 January 2020
  • Published (online): 10 March 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Jan 2020 15:16
Last Modified: 17 Nov 2020 15:32
Status: Published
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/ije/dyaa021

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