Predicting survival for chimeric antigen receptor T-cell therapy: a validation of survival models using follow-up data from ZUMA-1

Vadgama, S., Mann, J., Bashir, Z. et al. (3 more authors) (2022) Predicting survival for chimeric antigen receptor T-cell therapy: a validation of survival models using follow-up data from ZUMA-1. Value in Health. ISSN 1098-3015

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021, International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: chimeric antigen receptor T-cell; mixture-cure model; non-Hodgkin lymphoma; survival extrapolation
Dates:
  • Accepted: 31 October 2021
  • Published (online): 31 January 2022
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)
Depositing User: Symplectic Sheffield
Date Deposited: 22 Mar 2022 15:20
Last Modified: 22 Mar 2022 15:20
Status: Published online
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jval.2021.10.015

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