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

Authors

509

  1. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    12 publications · 5.9K citations

    12

    h-index

  2. GS
    Georgia Salanti

    University of Bern, Switzerland

    9 publications · 2.3K citations

    9

    h-index

  3. IR
    Ian R. White

    MRC Biostatistics Unit, United Kingdom

    9 publications · 3.7K citations

    9

    h-index

  4. DJ
    Dan Jackson

    MRC Biostatistics Unit, United Kingdom

    8 publications · 3.7K citations

    8

    h-index

  5. NJ
    Nicky J. Welton

    University of Bristol, United Kingdom

    7 publications · 1.7K citations

    7

    h-index

1–5 of 509

Venues

  1. Research Synthesis Methods

    11 publications · 4.2K citations

    11

    h-index

  2. Statistics in Medicine

    8 publications · 1.8K citations

    8

    h-index

  3. BMC Medical Research Methodology

    8 publications · 888 citations

    8

    h-index

  4. Journal of Clinical Epidemiology

    6 publications · 277 citations

    6

    h-index

  5. Logic Journal of IGPL

    4 publications · 117 citations

    4

    h-index

1–5