Adaptive Sample Size Re-estimation

Adaptive Sample Size Re-Estimation is a statistical methodology in clinical trial design that permits the modification of the planned sample size based on interim analyses of accumulating data, while preserving the trial's integrity and controlling type I error rates.

26

Publications

1.1K

Citations

97

Authors

80

Institutions

Publications per year

2017–2026

4

Authors

97

  1. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    5 publications · 558 citations

    5

    h-index

  2. SW
    Sue‐Jane Wang

    United States Food and Drug Administration, United States

    2 publications · 49 citations

    2

    h-index

  3. BW
    Bruce W. Turnbull

    Cornell University, United States

    2 publications · 72 citations

    2

    h-index

  4. CJ
    Christopher Jennison

    University of Bath, United Kingdom

    2 publications · 72 citations

    2

    h-index

  5. HH
    Hung Hung

    United States Food and Drug Administration, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 97

Venues

  1. Statistics in Medicine

    8 publications · 594 citations

    8

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 5 publications · 198 citations

    5

    h-index

  3. Pharmaceutical Statistics

    4 publications · 108 citations

    4

    h-index

  4. Drug Information Journal

    DIA · 2 publications · 63 citations

    2

    h-index

  5. BMC Medical Research Methodology

    2 publications · 30 citations

    2

    h-index

1–5