Sequential Sample Size Re-estimation

Sequential Sample Size Re-Estimation is a statistical method in sample size planning that iteratively adjusts the required sample size during data collection based on interim analyses, thereby distinguishing itself from fixed or one-time re-estimation approaches by incorporating sequential monitoring and adaptive decision-making.

26

Publications

2.1K

Citations

56

Authors

44

Institutions

Publications per year

2017–2026

0

Variants

Sequential Sample Size Reestimation

Authors

56

  1. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    5 publications · 573 citations

    5

    h-index

  2. LC
    Lu Cui

    University of Rochester, United States

    3 publications · 602 citations

    3

    h-index

  3. AL
    A. Lawrence Gould

    United States Military Academy, United States

    2 publications · 358 citations

    2

    h-index

  4. YW
    Yi Wu

    Anhui Agricultural University, China

    2 publications · 48 citations

    2

    h-index

  5. AC
    Ajit C. Tamhane

    Northwestern University, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 56

Venues

  1. Statistics in Medicine

    10 publications · 751 citations

    10

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 3 publications · 162 citations

    3

    h-index

  3. Biometrics

    2 publications · 602 citations

    2

    h-index

  4. The Forestry Chronicle

    1 publications · 14 citations

    1

    h-index

  5. Clinical Trials

    1 publications · 32 citations

    1

    h-index

1–5