Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding

Latimer, N. orcid.org/0000-0001-5304-5585, White, I.R., Tilling, K. et al. (1 more author) (2020) Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding. Statistical Methods in Medical Research, 29 (10). pp. 2900-2918. ISSN 0962-2802

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Author(s). This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Keywords: Treatment switching; treatment crossover; survival analysis; overall survival; oncology; health technology assessment; time-to-event outcomes; prediction; time-dependent confounding; structural nested models; gestimation; counterfactual
Dates:
  • Accepted: 16 February 2020
  • Published (online): 30 March 2020
  • Published: 1 October 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Funding Information:
FunderGrant number
NATIONAL INSTITUTE FOR HEALTH RESEARCHPDF-2015-08-022
Depositing User: Symplectic Sheffield
Date Deposited: 02 Mar 2020 16:43
Last Modified: 06 May 2021 16:18
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/0962280220912524

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