Multi-arm Sequential Testing

Multi-Arm Sequential Testing is a statistical inference framework that belongs to the class of sequential analysis methods, distinguished by its simultaneous evaluation of multiple treatment arms or interventions through adaptive sampling and early stopping rules to efficiently identify superior treatments while controlling error rates.

27

Publications

1.6K

Citations

65

Authors

44

Institutions

Publications per year

2017–2026

3

Authors

65

  1. MP
    Martin Posch

    Medical University of Vienna, Austria

    3 publications · 576 citations

    3

    h-index

  2. PA
    P. Armitage

    London School of Hygiene & Tropical Medicine, United Kingdom

    2 publications · 164 citations

    2

    h-index

  3. RS
    Rajesh Sundaresan

    Indian Institute of Science Bangalore, India

    2 publications · 30 citations

    2

    h-index

  4. NL
    Nancy L. Geller

    National Heart Lung and Blood Institute, United States

    2 publications · 201 citations

    2

    h-index

  5. TJ
    Thomas Jaki

    Lancaster University, United Kingdom

    2 publications · 175 citations

    2

    h-index

1–5 of 65

Venues

  1. Statistics in Medicine

    9 publications · 698 citations

    10

    h-index

  2. Biometrics

    5 publications · 273 citations

    5

    h-index

  3. Journal of Statistical Planning and Inference

    2 publications · 75 citations

    2

    h-index

  4. IEEE Transactions on Information Theory

    2 publications · 30 citations

    2

    h-index

  5. Biometrika

    2 publications · 192 citations

    2

    h-index

1–5