Sequential P-values

Sequential p-Values is a statistical metric in sequential analysis that quantifies the strength of evidence against a null hypothesis at each interim look in a sequential testing procedure, maintaining Type I error control over multiple analyses through adjustments for the timing and number of looks.

85

Publications

6.4K

Citations

127

Authors

55

Institutions

Publications per year

2017–2026

4

Authors

127

  1. GB
    G. Barrie Wetherill

    Birkbeck, University of London, United Kingdom

    7 publications · 508 citations

    7

    h-index

  2. PA
    P. Armitage

    London School of Hygiene & Tropical Medicine, United Kingdom

    4 publications · 191 citations

    4

    h-index

  3. DS
    David Siegmund

    Stanford University, United States

    4 publications · 902 citations

    4

    h-index

  4. AK
    Alexey Kharin

    Belarusian State University, Belarus

    3 publications · 33 citations

    3

    h-index

  5. DW
    David W. Alling

    National Institute of Allergy and Infectious Diseases, United States

    3 publications · 122 citations

    3

    h-index

1–5 of 127

Venues

  1. Biometrika

    11 publications · 376 citations

    11

    h-index

  2. 6

    h-index

  3. The Annals of Mathematical Statistics

    6 publications · 1.8K citations

    6

    h-index

  4. Technometrics

    5 publications · 1.4K citations

    5

    h-index

  5. Biometrics

    3 publications · 54 citations

    3

    h-index

1–5