Information Size Calculation

Information Size Calculation is a methodological procedure in meta-analytic research that determines the required sample size needed to detect or reject a specific intervention effect with adequate statistical power, thereby serving as a threshold for monitoring cumulative evidence in Trial Sequential Analysis.

21

Publications

8.3K

Citations

61

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

61

  1. CG
    Christian Gluud

    Copenhagen University Hospital, Denmark

    4 publications · 4K citations

    4

    h-index

  2. JW
    Jørn Wetterslev

    Rigshospitalet, Denmark

    4 publications · 4K citations

    4

    h-index

  3. KT
    Kristian Thorlund

    McMaster University, Canada

    3 publications · 2.8K citations

    3

    h-index

  4. JB
    Jesper Brok

    Rigshospitalet, Denmark

    2 publications · 1.9K citations

    2

    h-index

  5. AM
    Alberto Martín‐Martín

    Universidad de Granada, Spain

    1 publications · 144 citations

    1

    h-index

1–5 of 61

Venues

  1. Journal of Clinical Epidemiology

    2 publications · 106 citations

    2

    h-index

  2. Scientometrics

    2 publications · 818 citations

    2

    h-index

  3. International Journal of Epidemiology

    2 publications · 1.8K citations

    2

    h-index

  4. BMC Medical Research Methodology

    2 publications · 2.2K citations

    2

    h-index

  5. The American Statistician

    1 publications · 92 citations

    1

    h-index

1–5