Sequential Testing

Sequential Testing is a statistical hypothesis testing method that allows for interim analyses of accumulating data to decide whether to reject the null hypothesis, continue sampling, or stop the experiment early, thereby distinguishing it from fixed-sample tests by enabling continuous monitoring and early stopping based on predefined boundaries.

1.6K

Publications

238.1K

Citations

2.2K

Authors

859

Institutions

Publications per year

2017–2026

118

Authors

2.2K

  1. IP
    Irith Pomeranz

    University of Iowa, United States

    39 publications · 1.3K citations

    24

    h-index

  2. SR
    S.M. Reddy

    University of Iowa, United States

    37 publications · 1.3K citations

    24

    h-index

  3. TL
    Tze Leung Lai

    Stanford University, United States

    22 publications · 882 citations

    18

    h-index

  4. CJ
    Christopher Jennison

    University of Bath, United Kingdom

    18 publications · 1.4K citations

    16

    h-index

  5. MP
    Martin Posch

    Medical University of Vienna, Austria

    15 publications · 1.5K citations

    15

    h-index

1–5 of 2.2K

Venues

  1. Journal of the American Statistical Association

    87 publications · 6.8K citations

    40

    h-index

  2. Biometrika

    78 publications · 11K citations

    39

    h-index

  3. Statistics in Medicine

    73 publications · 5.2K citations

    34

    h-index

  4. Biometrics

    64 publications · 10.5K citations

    34

    h-index

  5. The Annals of Statistics

    65 publications · 3.4K citations

    32

    h-index

1–5