Methods of multi-indication meta-analysis for health technology assessment:a simulation study

Glynn, David orcid.org/0000-0002-0989-1984, Saramago Goncalves, Pedro Rafael orcid.org/0000-0001-9063-8590, Singh, Janharpreet et al. (4 more authors) (2025) Methods of multi-indication meta-analysis for health technology assessment:a simulation study. Research Synthesis Methods. ISSN: 1759-2887

Metadata

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

© The Author(s), 2025.
Dates:
  • Accepted: 25 August 2025
  • Published (online): 1 October 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York)
Funding Information:
Funder
Grant number
UNSPECIFIED
MR/W021102/1
Date Deposited: 26 Aug 2025 11:40
Last Modified: 22 Oct 2025 12:00
Published Version: https://doi.org/10.1017/rsm.2025.10037
Status: Published online
Refereed: Yes
Identification Number: 10.1017/rsm.2025.10037
Open Archives Initiative ID (OAI ID):

Download

Published Version

Filename: methods-of-multi-indication-meta-analysis-for-health-technology-assessment-a-simulation-study.pdf

Description: Methods of multi-indication meta-analysis for health technology assessment: A simulation study

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [thumbnail of Methods of multi-indication meta-analysis for health technology assessment: A simulation study]

Export

Statistics


CORE (COnnecting REpositories)