Adaptive Randomization Design

Adaptive Randomization Design is a clinical trial design method that systematically adjusts the probability of assigning participants to different treatment arms based on accumulating data, thereby distinguishing itself from fixed randomization designs by dynamically optimizing allocation in response to emerging evidence.

194

Publications

11.5K

Citations

738

Authors

338

Institutions

Publications per year

2017–2026

55

Authors

738

  1. DA
    Donald A. Berry

    The University of Texas MD Anderson Cancer Center, United States

    12 publications · 1.8K citations

    12

    h-index

  2. FH
    Feifang Hu

    University of Virginia, United States

    12 publications · 525 citations

    11

    h-index

  3. PF
    Peter F. Thall

    The University of Texas MD Anderson Cancer Center, United States

    11 publications · 1.3K citations

    11

    h-index

  4. WF
    William F. Rosenberger

    University of Maryland, Baltimore County, United States

    10 publications · 600 citations

    10

    h-index

  5. LT
    Lorenzo Trippa

    Dana-Farber Cancer Institute, United States

    7 publications · 267 citations

    7

    h-index

1–5 of 738

Venues

  1. Clinical Trials

    14 publications · 1.2K citations

    14

    h-index

  2. Statistics in Medicine

    16 publications · 1.1K citations

    14

    h-index

  3. Journal of Biopharmaceutical Statistics

    JBS · 13 publications · 322 citations

    12

    h-index

  4. Biometrics

    12 publications · 408 citations

    11

    h-index

  5. Journal of Statistical Planning and Inference

    7 publications · 291 citations

    7

    h-index

1–5