Combining randomised and non-randomized data to predict heterogeneous effects of competing treatments

Chalkou, Konstantina, Hamza, Tasnim, Benkert, Pascal et al. (8 more authors) (2024) Combining randomised and non-randomized data to predict heterogeneous effects of competing treatments. Research Synthesis Methods. ISSN 1759-2887

Metadata

Item Type: Article
Authors/Creators:
  • Chalkou, Konstantina
  • Hamza, Tasnim
  • Benkert, Pascal
  • Kuhle, Jens
  • Kappos, Ludwig
  • Zecca, Chiara
  • Simoneau, Gabrielle
  • Pellegrini, Fabio
  • Manca, Andrea ORCID logo https://orcid.org/0000-0001-8342-8421
  • Egger, Mattias
  • Salanti, Georgia
Copyright, Publisher and Additional Information: © 2024 The Authors.
Dates:
  • Submitted: 20 October 2022
  • Accepted: 16 February 2024
  • Published (online): 19 March 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION825162
Depositing User: Pure (York)
Date Deposited: 13 Mar 2024 08:40
Last Modified: 12 Apr 2024 23:15
Published Version: https://doi.org/10.1002/jrsm.1717
Status: Published online
Refereed: Yes
Identification Number: https://doi.org/10.1002/jrsm.1717

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Description: Research Synthesis Methods - 2024 - Chalkou - Combining randomized and non‐randomized data to predict heterogeneous effects

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