Bayesian Multilevel Meta-analysis

Bayesian Multilevel Meta-Analysis is a statistical framework for synthesizing effect sizes across multiple studies that incorporates hierarchical modeling structures and prior distributions to estimate parameters, accounting for both within- and between-study variability through Bayesian inference.

32

Publications

1.6K

Citations

126

Authors

81

Institutions

Publications per year

2017–2026

20

Authors

126

  1. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    2 publications · 499 citations

    2

    h-index

  2. PB
    Patrick Bélisle

    McGill University, Canada

    2 publications · 50 citations

    2

    h-index

  3. DS
    David Simons

    University College London, United Kingdom

    2 publications · 53 citations

    2

    h-index

  4. JB
    Jamie Brown

    University College London, United Kingdom

    2 publications · 53 citations

    2

    h-index

  5. OP
    Olga Perski

    University College London, United Kingdom

    2 publications · 53 citations

    2

    h-index

1–5 of 126

Venues

  1. Research Synthesis Methods

    3 publications · 286 citations

    3

    h-index

  2. Ecological Modelling

    2 publications · 183 citations

    2

    h-index

  3. ACC Current Journal Review

    2 publications · 50 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5