Inconsistency Models
Inconsistency Models is a statistical framework within network meta-analysis that belongs to the class of models designed to assess heterogeneity in evidence networks, specifically differing from other models by explicitly quantifying discrepancies between direct and indirect evidence through additional parameters that capture loop or design inconsistency.
232
Publications
22.9K
Citations
509
Authors
300
Institutions
Publications per year
2017–2026
50
Parents
232
Some empirical evidence on dynamic inconsistency
Richard H. Thaler · Economics Letters · 1981 · 2.3K citations
Evaluating the Quality of Evidence from a Network Meta-Analysis
Georgia Salanti, Cinzia Del Giovane, Anna Chaimani et al. · PLoS ONE · 2014 · 1.4K citations · Full text
Network meta‐analysis for indirect treatment comparisons
Thomas Lumley · Statistics in Medicine · 2002 · 1.2K citations
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University of Bristol
Bristol, United Kingdom
13 h-index
26 publications
14.4K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
9 h-index
33 publications
14.9K citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
7 h-index
13 publications
558 citations

University of York
York, United Kingdom
6 h-index
9 publications
7.2K citations

University of Ioannina
Ioannina, Greece
6 h-index
14 publications
5.6K citations
University College London
London, United Kingdom
5 h-index
8 publications
405 citations

Imperial College London
London, United Kingdom
5 h-index
5 publications
175 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
291 citations
1–8 of 300
11 publications · 4.2K citations
11
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8 publications · 1.8K citations
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8 publications · 888 citations
8
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6 publications · 277 citations
6
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4 publications · 117 citations
4
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