Simulation-based Sample Size Calculation
Simulation-Based Sample Size Calculation is a methodological approach within sample size planning that uses repeated stochastic simulations to estimate the required sample size for achieving specified statistical power, differing from analytic methods by relying on empirical sampling distributions rather than closed-form mathematical solutions.
232
Publications
24K
Citations
495
Authors
328
Institutions
Publications per year
2017–2026
52
Parents
232
1–5 of 232
495
12
h-index
The University of Texas Southwestern Medical Center, United States
6 publications · 197 citations
6
h-index
6
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3
h-index
3
h-index
1–5 of 495
328
Duke University
Durham, United States
11 h-index
14 publications
488 citations
Utrecht University
Utrecht, The Netherlands
6 h-index
6 publications
779 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
5 h-index
5 publications
274 citations
Chung Yuan Christian University
Taoyuan City, Taiwan
4 h-index
4 publications
237 citations

University of Notre Dame
Notre Dame, United States
4 h-index
7 publications
639 citations
National Cheng Kung University
Tainan City, Taiwan
4 h-index
4 publications
68 citations
Merck & Co., Inc., Rahway, NJ, USA (United States)
Rahway, United States
4 h-index
5 publications
391 citations
University College London
London, United Kingdom
4 h-index
8 publications
335 citations
1–8 of 328
25 publications · 3.4K citations
18
h-index
JBS · 10 publications · 180 citations
10
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9 publications · 1K citations
9
h-index
6 publications · 297 citations
6
h-index
MBR · 5 publications · 367 citations
5
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1–5