Fixed-effect Network Meta-analysis

Fixed-Effect Network Meta-Bysis is a statistical model within the class of network meta-analytic methods that assumes all treatment effects share a common underlying true effect size, differing only by fixed, non-random factors, thereby excluding between-study heterogeneity as a source of variation in effect estimates.

3

Publications

249

Citations

7

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

7

  1. JK
    J. König

    Johannes Gutenberg University Mainz, Germany

    1 publications · 212 citations

    1

    h-index

  2. HB
    Harald Binder

    Johannes Gutenberg University Mainz, Germany

    1 publications · 212 citations

    1

    h-index

  3. BB
    Brigitta Badiani

    Agenzia Regionale di Sanità della Toscana, Italy

    1 publications · 14 citations

    1

    h-index

  4. YW
    Yun‐Chun Wu

    National Taiwan University, Taiwan

    1 publications · 23 citations

    1

    h-index

  5. YT
    Yu‐Kang Tu

    National Taiwan University, Taiwan

    1 publications · 23 citations

    1

    h-index

1–5 of 7

Venues

  1. BMC Medical Research Methodology

    1 publications · 23 citations

    1

    h-index

  2. Heart Lung and Circulation

    1 publications · 14 citations

    1

    h-index

  3. Statistics in Medicine

    1 publications · 212 citations

    1

    h-index

  4. JAMA Dermatology

    1 publications · 10 citations

  5. Methods in molecular biology

    Book series · 1 publications · 11 citations

1–5