Network meta-regression including baseline risk analysis and interactive visualizations as implemented by the MetaInsight web application
This extensive update of the app greatly facilitates such complex analyses making them freely accessible to researchers from a wide range of backgrounds. This in turn should improve the reporting and reliability of published NMA which ultimately should positively impact clinical decision-making.
Authors
- Tom Morris (ORCID: https://orcid.org/0000-0003-3996-802X)
- Naomi Bradbury (ORCID: https://orcid.org/0000-0002-8934-6301)
- Clareece R. Nevill (ORCID: https://orcid.org/0000-0001-8305-2516)
- Suzanne C Freeman (ORCID: https://orcid.org/0000-0001-8045-4405)
- Janion Nevill (ORCID: https://orcid.org/0009-0006-7747-1128)
- Alex J. Sutton (ORCID: https://orcid.org/0000-0002-8934-9940)
- Nicola J. Cooper (ORCID: https://orcid.org/0000-0002-4486-2791)
Institutions
- University of Leicester (GB)
- NIHR Leicester Biomedical Research Centre (GB)
Publication Details
- Journal
- Journal of Clinical Epidemiology
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1016/j.jclinepi.2025.111839
- Citations
- 3
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 6.35
Funders
- National Institute for Health and Care Research