Bayesian Multivariate Meta-analysis

Bayesian Multivariate Meta-Analysis is a statistical framework within Bayesian meta-analysis that integrates multiple correlated outcomes or effect sizes from primary studies by jointly modeling their distribution through a multivariate hierarchical structure, thereby accounting for within- and between-study dependencies.

14

Publications

3.1K

Citations

42

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

42

  1. DM
    Dimitris Mavridis

    University of Ioannina, Greece

    3 publications · 387 citations

    3

    h-index

  2. GS
    Georgia Salanti

    University of Bern, Switzerland

    3 publications · 387 citations

    3

    h-index

  3. RD
    Richard D Riley

    Keele University, United Kingdom

    3 publications · 192 citations

    3

    h-index

  4. SB
    Sylwia Bujkiewicz

    University of Leicester, United Kingdom

    2 publications · 63 citations

    2

    h-index

  5. JR
    John R. Thompson

    University of Leicester, United Kingdom

    2 publications · 63 citations

    2

    h-index

1–5 of 42

Venues

  1. Statistics in Medicine

    7 publications · 2.6K citations

    7

    h-index

  2. Research Synthesis Methods

    2 publications · 114 citations

    2

    h-index

  3. Value in Health

    1 publications · 19 citations

    1

    h-index

  4. Statistical Methods in Medical Research

    1 publications · 270 citations

    1

    h-index

  5. Biostatistics

    1 publications · 53 citations

    1

    h-index

1–5