Precision Effect Test

Precision Effect Test is a statistical method used in meta-analysis to detect small-study effects by examining the relationship between the effect size estimates and their precision, typically through regression-based approaches that assess whether smaller studies show systematically different effects than larger ones.

12

Publications

1.3K

Citations

24

Authors

23

Institutions

Publications per year

2017–2026

6

Authors

24

  1. TD
    T. D. Stanley

    Hendrix College, United States

    3 publications · 873 citations

    3

    h-index

  2. MU
    Mehmet Uğur

    University of Greenwich, United Kingdom

    1 publications · 50 citations

    1

    h-index

  3. SK
    Sefa Kwami Awaworyi

    Australian Regenerative Medicine Institute, Australia

    1 publications · 29 citations

    1

    h-index

  4. DH
    Daniel H. Simon

    Cornell University, United States

    1 publications · 132 citations

    1

    h-index

  5. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    1 publications · 102 citations

    1

    h-index

1–5 of 24

Venues

  1. Journal of Economic Surveys

    2 publications · 37 citations

    2

    h-index

  2. Journal of Pharmacopolium

    1 publications · 13 citations

    1

    h-index

  3. Advances in Methods and Practices in Psychological Science

    AMPPS · 1 publications · 102 citations

    1

    h-index

  4. Oxford Bulletin of Economics and Statistics

    1 publications · 604 citations

    1

    h-index

  5. Journal of Clinical Epidemiology

    1 publications · 34 citations

    1

    h-index

1–5