Outcome-adaptive Randomization

Outcome-Adaptive Randomization is a type of adaptive randomization procedure in clinical trial design that dynamically allocates participants to treatment arms based on accumulating outcome data to optimize the probability of assigning participants to more effective treatments.

48

Publications

3.3K

Citations

140

Authors

81

Institutions

Publications per year

2017–2026

13

Authors

140

  1. PF
    Peter F. Thall

    The University of Texas MD Anderson Cancer Center, United States

    6 publications · 464 citations

    6

    h-index

  2. JK
    J. Kyle Wathen

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 255 citations

    3

    h-index

  3. GG
    Gordon Guyatt

    McMaster University, Canada

    2 publications · 124 citations

    2

    h-index

  4. EL
    Edward L. Korn

    National Cancer Institute, United States

    2 publications · 296 citations

    2

    h-index

  5. GP
    Giovanni Parmigiani

    Johns Hopkins University, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 140

Venues

  1. Statistics in Medicine

    5 publications · 352 citations

    5

    h-index

  2. Controlled Clinical Trials

    5 publications · 608 citations

    5

    h-index

  3. Contemporary Clinical Trials

    4 publications · 66 citations

    4

    h-index

  4. Clinical Trials

    3 publications · 391 citations

    3

    h-index

  5. Therapeutic Innovation & Regulatory Science

    TIRS · 2 publications · 45 citations

    2

    h-index

1–5