Pooled Treatment Effect

Pooled Treatment Effect is a statistical estimate that represents the weighted average of individual study effects across multiple trials, synthesizing evidence to yield a more precise and generalizable measure of intervention impact within meta-analysis.

452

Publications

66.3K

Citations

3.8K

Authors

1.1K

Institutions

Publications per year

2017–2026

161

Variants

Pooled EffectPooled Estimate

Authors

3.8K

  1. GG
    Gordon Guyatt

    McMaster University, Canada

    11 publications · 4.7K citations

    11

    h-index

  2. PC
    Pim Cuijpers

    Vrije Universiteit Amsterdam, Netherlands

    8 publications · 1.1K citations

    8

    h-index

  3. JP
    John P. A. Ioannidis

    Stanford University, United States

    8 publications · 1.4K citations

    8

    h-index

  4. PJ
    Peter Jüni

    University of Bern, Switzerland

    7 publications · 6.2K citations

    7

    h-index

  5. RD
    Richard D Riley

    Keele University, United Kingdom

    6 publications · 4K citations

    6

    h-index

1–5 of 3.8K

Venues

  1. Statistics in Medicine

    23 publications · 2.4K citations

    21

    h-index

  2. PubMed

    Repository · 22 publications · 1.5K citations

    15

    h-index

  3. JAMA

    9 publications · 4.7K citations

    9

    h-index

  4. BMC Medical Research Methodology

    8 publications · 1.2K citations

    8

    h-index

  5. BMJ Open

    7 publications · 161 citations

    7

    h-index

1–5