Causal inference for long-term survival in randomised trials with treatment switching: Should re-censoring be applied when estimating counterfactual survival times?

Latimer, N.R. orcid.org/0000-0001-5304-5585, White, I.R., Abrams, K.R. et al. (1 more author) (2019) Causal inference for long-term survival in randomised trials with treatment switching: Should re-censoring be applied when estimating counterfactual survival times? Statistical Methods in Medical Research, 28 (8). pp. 2475-2493. ISSN 0962-2802

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any 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; re-censoring
Dates:
  • Accepted: 13 May 2018
  • Published (online): 25 June 2018
  • Published: 1 August 2019
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: 15 May 2018 15:29
Last Modified: 27 Aug 2019 11:30
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/0962280218780856

Share / Export

Statistics