Small-study Effect Detection

Small-Study Effect Detection is a methodological procedure within meta-analytic research that identifies systematic deviations in effect size estimates associated with the sample size or precision of primary studies, thereby signaling potential publication bias or selective reporting.

36

Publications

5.3K

Citations

123

Authors

77

Institutions

Publications per year

2017–2026

18

Authors

123

  1. GS
    Georgia Salanti

    University of Bern, Switzerland

    4 publications · 699 citations

    4

    h-index

  2. JA
    Jonathan A C Sterne

    University of Bristol, United Kingdom

    4 publications · 1.1K citations

    4

    h-index

  3. GR
    Gerta Rücker

    University of Freiburg, Germany

    3 publications · 621 citations

    3

    h-index

  4. GS
    Guido Schwarzer

    University of Freiburg, Germany

    3 publications · 621 citations

    3

    h-index

  5. LS
    Linyu Shi

    Florida State University, United States

    2 publications · 85 citations

    2

    h-index

1–5 of 123

Venues

  1. Research Synthesis Methods

    5 publications · 813 citations

    5

    h-index

  2. 2

    h-index

  3. Psychological Methods

    2 publications · 707 citations

    2

    h-index

  4. Frontiers in Nutrition

    2 publications · 59 citations

    2

    h-index

  5. BMC Medicine

    2 publications · 369 citations

    2

    h-index

1–5