Between-study Variance Estimation

Between-Study Variance Estimation is a statistical method used in Bayesian meta-analysis that quantifies the heterogeneity across studies by estimating the variance of effect sizes around a common mean, assuming a hierarchical model structure with predefined prior distributions.

156

Publications

23.5K

Citations

354

Authors

243

Institutions

Publications per year

2017–2026

37

Authors

354

  1. DJ
    Dan Jackson

    MRC Biostatistics Unit, United Kingdom

    17 publications · 4.1K citations

    17

    h-index

  2. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    9 publications · 3.8K citations

    9

    h-index

  3. RT
    Rebecca Turner

    MRC Biostatistics Unit, United Kingdom

    7 publications · 2.6K citations

    7

    h-index

  4. RD
    Richard D Riley

    Keele University, United Kingdom

    6 publications · 1.2K citations

    6

    h-index

  5. WV
    Wim Van Den Noortgate

    KU Leuven, Belgium

    5 publications · 277 citations

    5

    h-index

1–5 of 354

Venues

  1. Statistics in Medicine

    32 publications · 6.4K citations

    30

    h-index

  2. Research Synthesis Methods

    12 publications · 2.9K citations

    12

    h-index

  3. BMC Medical Research Methodology

    7 publications · 1.8K citations

    7

    h-index

  4. Biometrics

    5 publications · 373 citations

    5

    h-index

  5. Biostatistics

    4 publications · 1.1K citations

    4

    h-index

1–5