DAG-informed regression modelling, agent-based modelling, and microsimulation modelling: A critical comparison of methods for causal inference

Arnold, KF orcid.org/0000-0002-0911-5029, Harrison, WJ orcid.org/0000-0003-1180-8112, Heppenstall, AJ orcid.org/0000-0002-0663-3437 et al. (1 more author) (2019) DAG-informed regression modelling, agent-based modelling, and microsimulation modelling: A critical comparison of methods for causal inference. International Journal of Epidemiology, 48 (1). pp. 243-253. ISSN 0300-5771

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Copyright, Publisher and Additional Information: © The Author(s) 2018. 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: causal inference; counterfactuals; directed acyclic graphs; agent-based modelling; microsimulation modelling
Dates:
  • Published: 1 February 2019
  • Accepted: 2 November 2018
  • Published (online): 5 December 2018
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: 24 Oct 2018 12:07
Last Modified: 27 Feb 2019 09:53
Status: Published
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/ije/dyy260

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