Multi-outcome Network Meta-analysis

Multi-Outcome Network Meta-Analysis is a statistical framework within the broader class of network meta-analysis methods that simultaneously synthesizes evidence from multiple correlated outcomes across a network of interventions, distinguishing itself by accounting for interdependencies among outcomes to enable joint inference and reduce uncertainty in comparative effectiveness estimates.

60

Publications

7.1K

Citations

326

Authors

193

Institutions

Publications per year

2017–2026

33

Authors

326

  1. GS
    Georgia Salanti

    University of Bern, Switzerland

    8 publications · 3K citations

    8

    h-index

  2. AC
    Andrea Cipriani

    University of Oxford, United Kingdom

    6 publications · 1.1K citations

    6

    h-index

  3. DM
    Dimitris Mavridis

    University of Ioannina, Greece

    6 publications · 2.6K citations

    6

    h-index

  4. RD
    Richard D Riley

    Keele University, United Kingdom

    4 publications · 409 citations

    4

    h-index

  5. TA
    Toshi A. Furukawa

    Kyoto University, Japan

    4 publications · 994 citations

    4

    h-index

1–5 of 326

Venues

  1. Research Synthesis Methods

    8 publications · 283 citations

    8

    h-index

  2. BMC Medical Research Methodology

    6 publications · 512 citations

    6

    h-index

  3. Systematic Reviews

    5 publications · 108 citations

    5

    h-index

  4. BMJ

    3 publications · 638 citations

    3

    h-index

  5. Statistics in Medicine

    3 publications · 129 citations

    3

    h-index

1–5