Group-sequential Multiple Testing

Group-Sequential Multiple Testing is a statistical methodology for sequentially analyzing accumulating data in stages, wherein multiple hypotheses are tested at each interim analysis while controlling the overall error rate through pre-specified boundaries, distinguishing it from fixed-sample and fully sequential approaches by its structured, group-wise evaluation of evidence.

65

Publications

4.2K

Citations

131

Authors

73

Institutions

Publications per year

2017–2026

7

Authors

131

  1. CJ
    Christopher Jennison

    University of Bath, United Kingdom

    5 publications · 322 citations

    5

    h-index

  2. NL
    Nancy L. Geller

    National Heart Lung and Blood Institute, United States

    4 publications · 370 citations

    4

    h-index

  3. PH
    Peter H. Westfall

    Texas Tech University, United States

    3 publications · 562 citations

    3

    h-index

  4. PC
    Peter C. O’Brien

    Mayo Clinic, United States

    3 publications · 468 citations

    3

    h-index

  5. DT
    Dei‐In Tang

    Nathan Kline Institute for Psychiatric Research, United States

    3 publications · 247 citations

    3

    h-index

1–5 of 131

Venues

  1. Controlled Clinical Trials

    5 publications · 1.3K citations

    5

    h-index

  2. Biometrics

    4 publications · 256 citations

    4

    h-index

  3. Journal of Statistical Planning and Inference

    4 publications · 327 citations

    4

    h-index

  4. 3

    h-index

  5. 2

    h-index

1–5