Heterogeneity Decomposition

Heterogeneity Decomposition is a methodological framework in meta-analysis that partitions overall effect size variability into constituent sources of heterogeneity, distinguishing between within-study and between-study variation to identify systematic contributors to disparate outcomes.

79

Publications

14.5K

Citations

385

Authors

170

Institutions

Publications per year

2017–2026

24

Authors

385

  1. LV
    Larry V. Hedges

    University of Chicago, United States

    3 publications · 687 citations

    3

    h-index

  2. GV
    Gene V. Glass

    University of Colorado System, United States

    2 publications · 95 citations

    2

    h-index

  3. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    2 publications · 239 citations

    2

    h-index

  4. AS
    Allan S. Detsky

    University of Toronto, Canada

    2 publications · 743 citations

    2

    h-index

  5. JJ
    Jan J. Barendregt

    The University of Queensland, Australia

    2 publications · 326 citations

    2

    h-index

1–5 of 385

Venues

  1. Journal of Clinical Epidemiology

    8 publications · 1.1K citations

    8

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 2 publications · 118 citations

    3

    h-index

  3. Statistics in Medicine

    3 publications · 175 citations

    3

    h-index

  4. Contemporary Clinical Trials

    2 publications · 326 citations

    2

    h-index

  5. NeuroImage

    2 publications · 95 citations

    2

    h-index

1–5