Theory and performance of substitution models for estimating relative causal effects in nutritional epidemiology

Tomova, G.D. orcid.org/0000-0003-1984-8055, Gilthorpe, M.S. orcid.org/0000-0001-8783-7695 and Tennant, P.W.G. orcid.org/0000-0003-1555-069X (2022) Theory and performance of substitution models for estimating relative causal effects in nutritional epidemiology. The American Journal of Clinical Nutrition, 116 (5). pp. 1379-1388. ISSN 0002-9165

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Item Type: Article
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© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/ 4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: nutritional epidemiology; substitution models; substitution analysis; estimand; causal inference; compositional data
Dates:
  • Published: November 2022
  • Published (online): 13 October 2022
  • Accepted: 27 July 2022
Institution: The University of Leeds
Academic Units: 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)
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: 17 May 2024 10:17
Last Modified: 17 May 2024 10:17
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1093/ajcn/nqac188
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