Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

Arnold, KF orcid.org/0000-0002-0911-5029, Davies, V, de Kamps, M orcid.org/0000-0001-7162-4425 et al. (3 more authors) (2020) Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning. International Journal of Epidemiology, 49 (6). pp. 2074-2082. 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: Prediction, causal inference, generalized linear models, directed acyclic graphs, machine learning, artificial intelligence
Dates:
  • Published: December 2020
  • Accepted: 9 March 2020
  • Published (online): 7 May 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
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) > Medicine & Health Faculty Office (Leeds) > Faculty Office Functions (FOMH) (Leeds) > Dean's Office (FOMH) (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: 03 Mar 2020 12:06
Last Modified: 27 Apr 2021 10:51
Status: Published
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/ije/dyaa049

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