An Evaluation of an Algorithm for the Selection of Flexible Survival Models for Cancer Immunotherapies: Pass or Fail?
The Palmer algorithm provides a systematic framework for identifying suitable survival models, and for defining plausibility criteria for extrapolation validity. Using the algorithm ensures that model selection is based on explicit justification and evidence, which could reduce discordance in health technology appraisals.
Authors
- Kurt Taylor (ORCID: https://orcid.org/0000-0003-4690-063X)
- Nicholas Latimer (ORCID: https://orcid.org/0000-0001-5304-5585)
- John Borrill (ORCID: https://orcid.org/0000-0002-1047-8556)
- Inkyu Kim (ORCID: https://orcid.org/0000-0003-4974-3916)
- Anthony J. Hatswell (ORCID: https://orcid.org/0000-0003-1129-326X)
- Sophia Ho (ORCID: https://orcid.org/0009-0001-2614-8359)
- Gabriel Okorogheye
- David Bertwistle
- Clara Chen
Institutions
- Hagley Museum and Library (US)
- Bristol-Myers Squibb (United States) (US)
- Bristol-Myers Squibb (United Kingdom) (GB)
- University College London (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- PharmacoEconomics
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1007/s40273-024-01429-0
- Citations
- 2
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Bristol-Myers Squibb