Hierarchical Meta-analysis

Hierarchical Meta-Analysis is a statistical framework within multilevel meta-analysis that models effect sizes as nested within studies and accounts for dependencies among effect sizes through random effects at multiple levels.

118

Publications

11.4K

Citations

330

Authors

217

Institutions

Publications per year

2017–2026

44

Authors

330

  1. WV
    Wim Van Den Noortgate

    KU Leuven, Belgium

    7 publications · 2.1K citations

    7

    h-index

  2. PO
    Patrick Onghena

    KU Leuven, Belgium

    5 publications · 589 citations

    5

    h-index

  3. MM
    Mariola Moeyaert

    University at Albany, State University of New York, United States

    5 publications · 137 citations

    5

    h-index

  4. KR
    Keith R. Abrams

    University of Leicester, United Kingdom

    3 publications · 182 citations

    3

    h-index

  5. SM
    Samu Mäntyniemi

    University of Helsinki, Finland

    3 publications · 47 citations

    3

    h-index

1–5 of 330

Venues

  1. Statistics in Medicine

    10 publications · 1.2K citations

    10

    h-index

  2. 4

    h-index

  3. 4

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  4. Research Synthesis Methods

    4 publications · 573 citations

    4

    h-index

  5. Educational and Psychological Measurement

    2 publications · 233 citations

    2

    h-index

1–5