Stopping Rule Evaluation

Stopping Rule Evaluation is a methodological framework within cumulative meta-analysis that determines the optimal point at which sequential accumulation of evidence reaches sufficient statistical or clinical precision to warrant cessation of further research.

130

Publications

8.2K

Citations

431

Authors

252

Institutions

Publications per year

2017–2026

16

Authors

431

  1. SP
    Stuart Pocock

    London School of Hygiene & Tropical Medicine, United Kingdom

    4 publications · 435 citations

    4

    h-index

  2. LS
    Laurence S. Freedman

    Sheba Medical Center, Israel

    3 publications · 228 citations

    3

    h-index

  3. SP
    Sophie Piperno‐Neumann

    Institut Curie, France

    2 publications · 30 citations

    2

    h-index

  4. AI
    Anne I. Goldman

    University of Minnesota, United States

    2 publications · 51 citations

    2

    h-index

  5. TR
    Tim Ramsay

    University of Ottawa, Canada

    2 publications · 79 citations

    2

    h-index

1–5 of 431

Venues

  1. Statistics in Medicine

    16 publications · 671 citations

    15

    h-index

  2. Biometrics

    6 publications · 712 citations

    6

    h-index

  3. Clinical Trials

    5 publications · 222 citations

    5

    h-index

  4. Controlled Clinical Trials

    4 publications · 228 citations

    4

    h-index

  5. 4

    h-index

1–5