Sequential Design Sample Size

Sequential Design Sample Size is a methodological approach to determining sample size in which data are collected and analyzed sequentially at predefined intervals, allowing for early stopping or sample size adjustment based on interim results while controlling Type I and Type II error rates.

44

Publications

7.6K

Citations

75

Authors

45

Institutions

Publications per year

2017–2026

4

Authors

75

  1. GB
    G. Barrie Wetherill

    Birkbeck, University of London, United Kingdom

    6 publications · 483 citations

    6

    h-index

  2. JW
    John Whitehead

    University of Reading, United Kingdom

    2 publications · 212 citations

    2

    h-index

  3. JL
    Jack L. Johnson

    General Motors (United States), United States

    2 publications · 24 citations

    2

    h-index

  4. MC
    Myron Chang

    University of Florida, United States

    2 publications · 28 citations

    2

    h-index

  5. CG
    Clare Gnecco

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 167 citations

    2

    h-index

1–5 of 75

Venues

  1. Statistics in Medicine

    5 publications · 184 citations

    5

    h-index

  2. Biometrics

    5 publications · 1.1K citations

    5

    h-index

  3. 4

    h-index

  4. Biometrika

    3 publications · 2.2K citations

    3

    h-index

  5. 3

    h-index

1–5