Heterogeneity Assessment

Heterogeneity Assessment is a methodological process in meta-analysis that evaluates the degree of variation in effect sizes across studies beyond what would be expected from sampling error alone.

2.1K

Publications

442.8K

Citations

5K

Authors

1.8K

Institutions

Publications per year

2017–2026

565

Authors

5K

  1. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    50 publications · 70.7K citations

    44

    h-index

  2. JP
    John P. A. Ioannidis

    Stanford University, United States

    32 publications · 13.3K citations

    29

    h-index

  3. LV
    Larry V. Hedges

    University of Chicago, United States

    28 publications · 28.6K citations

    25

    h-index

  4. GS
    Georgia Salanti

    University of Bern, Switzerland

    28 publications · 11.4K citations

    25

    h-index

  5. DJ
    Dan Jackson

    MRC Biostatistics Unit, United Kingdom

    24 publications · 7K citations

    24

    h-index

1–5 of 5K

Venues

  1. Statistics in Medicine

    156 publications · 76.9K citations

    80

    h-index

  2. Journal of Clinical Epidemiology

    94 publications · 23K citations

    50

    h-index

  3. Research Synthesis Methods

    68 publications · 20.6K citations

    41

    h-index

  4. Psychological Methods

    46 publications · 16.3K citations

    36

    h-index

  5. BMC Medical Research Methodology

    52 publications · 14.1K citations

    36

    h-index

1–5