Random-effects Network Meta-analysis
Random-Effects Network Meta-Analysis is a statistical method within the class of network meta-analytic models that incorporates both within-study and between-study variability by assuming that treatment effects vary across studies according to a specified distribution, thereby allowing generalization beyond the included studies.
55
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4.1K
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344
Authors
189
Institutions
Publications per year
2017–2026
42
Variants
Random-effects Nma
Parents
55
Lukas Schwingshackl, Anna Chaimani, Georg Hoffmann et al. · European Journal of Epidemiology · 2018 · 267 citations · Full text
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Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
28 publications
7.7K citations

University of Bristol
Bristol, United Kingdom
3 h-index
11 publications
615 citations
Oxford Health NHS Foundation Trust
Oxford, United Kingdom
3 h-index
3 publications
922 citations

National Taiwan University
Taipei, Taiwan
3 h-index
4 publications
104 citations
The Institute of Statistical Mathematics
Tokyo, Japan
3 h-index
3 publications
905 citations
University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
951 citations
Zimmer Biomet (Germany)
Berlin, Germany
2 h-index
6 publications
285 citations

Capital Medical University
Beijing, China
2 h-index
12 publications
204 citations
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4 publications · 366 citations
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3 publications · 235 citations
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2 publications · 61 citations
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2 publications · 35 citations
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2 publications · 388 citations
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