Response-adaptive Randomization

Response-Adaptive Randomization is a type of adaptive randomization procedure in clinical trial design that dynamically allocates treatment assignments in a sequential experiment based on accumulating response data, thereby modifying the randomization probabilities to favor more effective interventions while maintaining statistical validity.

130

Publications

6.9K

Citations

566

Authors

306

Institutions

Publications per year

2017–2026

38

Authors

566

  1. WF
    William F. Rosenberger

    University of Maryland, Baltimore County, United States

    15 publications · 1.1K citations

    15

    h-index

  2. LT
    Lorenzo Trippa

    Dana-Farber Cancer Institute, United States

    9 publications · 429 citations

    9

    h-index

  3. FH
    Feifang Hu

    University of Virginia, United States

    7 publications · 653 citations

    7

    h-index

  4. OS
    Oleksandr Sverdlov

    Novartis (United States), United States

    7 publications · 311 citations

    7

    h-index

  5. SB
    Scott Berry

    Berry & Associates (United States), United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 566

Venues

  1. Statistics in Medicine

    9 publications · 526 citations

    9

    h-index

  2. Biometrics

    7 publications · 270 citations

    7

    h-index

  3. Journal of Statistical Planning and Inference

    7 publications · 172 citations

    7

    h-index

  4. Clinical Trials

    7 publications · 398 citations

    7

    h-index

  5. Journal of Biopharmaceutical Statistics

    JBS · 6 publications · 116 citations

    6

    h-index

1–5