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.
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Publications
8.3K
Citations
61
Authors
33
Institutions
Publications per year
2017–2026
3
Parents
21
Jesper Brok, Kristian Thorlund, Jørn Wetterslev et al. · International Journal of Epidemiology · 2008 · 954 citations · Full text
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Copenhagen University Hospital
Copenhagen, Denmark
4 h-index
16 publications
15.6K citations
Rigshospitalet
Copenhagen, Denmark
3 h-index
11 publications
11.3K citations

McMaster University
Hamilton, Canada
2 h-index
3 publications
1.8K citations

University of Ioannina
Ioannina, Greece
2 h-index
4 publications
994 citations
Indiana University
Bloomington, United States
1 h-index
1 publications
33 citations

Beijing University of Chinese Medicine
Beijing, China
1 h-index
2 publications
34 citations

Universidad de Granada
Granada, Spain
1 h-index
3 publications
432 citations

Johannes Kepler University of Linz
Linz, Austria
1 h-index
1 publications
674 citations
1–8 of 33
2 publications · 106 citations
2
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2 publications · 818 citations
2
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2 publications · 1.8K citations
2
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2 publications · 2.2K citations
2
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1 publications · 92 citations
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1–5