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

Authors

495

  1. SJ
    Sin‐Ho Jung

    Duke University, United States

    12 publications · 469 citations

    12

    h-index

  2. CA
    Chul Ahn

    The University of Texas Southwestern Medical Center, United States

    6 publications · 197 citations

    6

    h-index

  3. GS
    Gwowen Shieh

    National Yang Ming Chiao Tung University, Taiwan

    6 publications · 288 citations

    6

    h-index

  4. FH
    F. Hsieh

    University of Michigan, United States

    3 publications · 1.5K citations

    3

    h-index

  5. SJ
    Show-Li Jan

    Chung Yuan Christian University, Taiwan

    3 publications · 144 citations

    3

    h-index

1–5 of 495

Venues

  1. Statistics in Medicine

    25 publications · 3.4K citations

    18

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 10 publications · 180 citations

    10

    h-index

  3. Biometrics

    9 publications · 1K citations

    9

    h-index

  4. Statistical Methods in Medical Research

    6 publications · 297 citations

    6

    h-index

  5. Multivariate Behavioral Research

    MBR · 5 publications · 367 citations

    5

    h-index

1–5