Bayesian Hierarchical Modelling for Histology-Independent Time-to-Event Outcomes in the NICE Single Technology Appraisal of Pembrolizumab for Solid Tumours with MSI-H/dMMR:External Assessment Group Perspective

Sugden, Bradley M, Grimm, Sabine E, Wolff, Robert et al. (9 more authors) (2024) Bayesian Hierarchical Modelling for Histology-Independent Time-to-Event Outcomes in the NICE Single Technology Appraisal of Pembrolizumab for Solid Tumours with MSI-H/dMMR:External Assessment Group Perspective. Pharmacoeconomics. pp. 615-618. ISSN 1179-2027

Metadata

Item Type: Article
Authors/Creators:
  • Sugden, Bradley M
  • Grimm, Sabine E
  • Wolff, Robert
  • Armstrong, Nigel
  • Otten, Thomas
  • Abu-Zahra, Teebah
  • Perry, Mark (mark.perry@york.ac.uk)
  • Patel, Mubarak
  • Chen, Jiongyu
  • Noake, Caro
  • Joore, Manuela
  • Witlox, Willem J A
Copyright, Publisher and Additional Information:

© The Author(s) 2024
Keywords: Humans,Antibodies, Monoclonal, Humanized/therapeutic use,Bayes Theorem,Neoplasms/drug therapy,Technology Assessment, Biomedical,Antineoplastic Agents, Immunological/therapeutic use,Cost-Benefit Analysis
Dates:
  • Published: 1 June 2024
  • Published (online): 7 May 2024
  • Accepted: 7 April 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Psychology (York) > York Neuroimaging Centre
The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York)
Depositing User: Pure (York)
Date Deposited: 24 Oct 2024 15:30
Last Modified: 25 Oct 2024 00:18
Published Version: https://doi.org/10.1007/s40273-024-01381-z
Status: Published
Refereed: Yes
Identification Number: 10.1007/s40273-024-01381-z
Open Archives Initiative ID (OAI ID):

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Description: Bayesian Hierarchical Modelling for Histology-Independent Time-to-Event Outcomes in the NICE Single Technology Appraisal of Pembrolizumab for Solid Tumours with MSI-H/dMMR: External Assessment Group Perspective

Licence: CC-BY-NC 2.5

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