Network meta-analysis made simple: A composite likelihood approach.

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Bibliographic Details
Title: Network meta-analysis made simple: A composite likelihood approach.
Authors: Liu YL; Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA., Zhang B; Center for Health AI and Synthesis of Evidence, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA., Chu H; Statistical Research and Data Science, Pfizer Inc., New York, NY, USA.; Division of Biostatistics, University of Minnesota Twin Cities, Minneapolis, MN, USA., Chen Y; Center for Health AI and Synthesis of Evidence, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA.; Leonard Davis Institute of Health Economics, Philadelphia, PA, USA.; Penn Medicine Center for Evidence-based Practice, Philadelphia, PA, USA.; Penn Institute for Biomedical Informatics, Philadelphia, PA, USA.
Source: Research synthesis methods [Res Synth Methods] 2025 Mar; Vol. 16 (2), pp. 272-290. Date of Electronic Publication: 2025 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Blackwell Country of Publication: England NLM ID: 101543738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-2887 (Electronic) Linking ISSN: 17592879 NLM ISO Abbreviation: Res Synth Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1759-2887
DOI:10.1017/rsm.2024.12