Quantitative bias analysis for unmeasured confounding in unanchored population-adjusted indirect comparisons

Ren, S., Ren, S., Welton, N.J. et al. (1 more author) (2025) Quantitative bias analysis for unmeasured confounding in unanchored population-adjusted indirect comparisons. Research Synthesis Methods. pp. 1-19. ISSN 1759-2879

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© The Author(s), 2025. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

Keywords: quantitative bias analysis; unmeasured confounding; unanchored simulated treatment comparison; population-adjustment; indirect treatment comparison
Dates:
  • Submitted: 14 June 2024
  • Accepted: 20 January 2025
  • Published (online): 24 March 2025
  • Published: 24 March 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
Funder
Grant number
DEPARTMENT OF HEALTH AND SOCIAL CARE
NIHR300590
Depositing User: Symplectic Sheffield
Date Deposited: 29 May 2025 08:41
Last Modified: 29 May 2025 08:41
Status: Published online
Publisher: Cambridge University Press (CUP)
Refereed: Yes
Identification Number: 10.1017/rsm.2025.13
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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