Adaptive Randomization

Adaptive Randomization is a method of allocating participants to treatment arms in a clinical trial where the probability of assignment is dynamically adjusted based on accumulating data, thereby differing from fixed randomization schemes by incorporating interim results to optimize trial efficiency or ethical considerations.

221

Publications

15.9K

Citations

875

Authors

402

Institutions

Publications per year

2017–2026

73

Authors

875

  1. FH
    Feifang Hu

    University of Virginia, United States

    18 publications · 871 citations

    14

    h-index

  2. WF
    William F. Rosenberger

    University of Maryland, Baltimore County, United States

    13 publications · 989 citations

    13

    h-index

  3. DA
    Donald A. Berry

    The University of Texas MD Anderson Cancer Center, United States

    13 publications · 2.6K citations

    13

    h-index

  4. LT
    Lorenzo Trippa

    Dana-Farber Cancer Institute, United States

    10 publications · 438 citations

    10

    h-index

  5. PF
    Peter F. Thall

    The University of Texas MD Anderson Cancer Center, United States

    10 publications · 1.1K citations

    10

    h-index

1–5 of 875

Venues

  1. Statistics in Medicine

    19 publications · 1.9K citations

    16

    h-index

  2. Clinical Trials

    14 publications · 948 citations

    14

    h-index

  3. Biometrics

    16 publications · 910 citations

    14

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 13 publications · 331 citations

    12

    h-index

  5. Journal of Clinical Oncology

    8 publications · 1.6K citations

    8

    h-index

1–5