Multiple Testing In Meta-analysis

Multiple Testing in Meta-Analysis is a statistical methodology that addresses the inflation of Type I error rates arising from the simultaneous evaluation of multiple hypotheses across studies within a meta-analytic framework.

115

Publications

58K

Citations

349

Authors

213

Institutions

Publications per year

2017–2026

22

Authors

349

  1. JH
    Joachim Härtung

    TU Dortmund University, Germany

    6 publications · 2.3K citations

    6

    h-index

  2. LV
    Larry V. Hedges

    University of Chicago, United States

    4 publications · 868 citations

    4

    h-index

  3. RR
    Robert Rosenthal

    Harvard University Press, United States

    4 publications · 1.5K citations

    4

    h-index

  4. CM
    Claus Mayer

    Biomathematics and Statistics Scotland, United Kingdom

    2 publications · 164 citations

    2

    h-index

  5. AV
    A. van Meurs

    2 publications · 63 citations

    2

    h-index

1–5 of 349

Venues

  1. Psychological Bulletin

    7 publications · 2K citations

    7

    h-index

  2. 6

    h-index

  3. Biometrical Journal

    5 publications · 301 citations

    5

    h-index

  4. Controlled Clinical Trials

    4 publications · 39.6K citations

    4

    h-index

  5. Journal of Applied Psychology

    3 publications · 225 citations

    3

    h-index

1–5