Assessing the consistency assumptions underlying network meta-regression using aggregate data

Donegan, Sarah, Dias, Sofia orcid.org/0000-0002-2172-0221 and Welton, Nicky J. (2019) Assessing the consistency assumptions underlying network meta-regression using aggregate data. Research Synthesis Methods. pp. 207-224. ISSN 1759-2887

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Authors/Creators:
Copyright, Publisher and Additional Information: Funding Information: Medical Research Council, Grant/Award Number: MR/K021435/1 Funding Information: This research was funded by the Medical Research Council (http://www.mrc.ac.uk/, grant number MR/K021435/ 1) as part of a career development award in biostatistics awarded to SDo. We are grateful to the two anonymous peer reviewers for their helpful comments. Publisher Copyright: © 2018 The Authors. Research Synthesis Methods Published by John Wiley & Sons Ltd.
Keywords: consistency,inconsistency models,network meta-analysis,network meta-regression,node splitting,treatment by covariate interactions,Education
Dates:
  • Accepted: 15 October 2018
  • Published (online): 26 October 2018
  • Published: June 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York)
Depositing User: Pure (York)
Date Deposited: 16 Oct 2018 10:00
Last Modified: 23 Mar 2022 09:30
Published Version: https://doi.org/10.1002/jrsm.1327
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1002/jrsm.1327
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