Adaptive Dose-finding

Adaptive Dose-Finding is a sequential experimental methodology in clinical trial design that iteratively adjusts dosage levels for subsequent participants based on accumulating responses, distinguishing itself by its use of real-time data adaptation to identify an optimal therapeutic dose.

171

Publications

9.7K

Citations

745

Authors

358

Institutions

Publications per year

2017–2026

38

Authors

745

  1. YY
    Ying Yuan

    The University of Texas MD Anderson Cancer Center, United States

    16 publications · 1.2K citations

    14

    h-index

  2. PF
    Peter F. Thall

    The University of Texas MD Anderson Cancer Center, United States

    10 publications · 1.1K citations

    10

    h-index

  3. BG
    Brenda Gaydos

    Eli Lilly (United States), United States

    8 publications · 813 citations

    8

    h-index

  4. SB
    Scott Berry

    Berry & Associates (United States), United States

    8 publications · 336 citations

    8

    h-index

  5. VD
    Vladimir Dragalin

    GlaxoSmithKline (United States), United States

    8 publications · 656 citations

    8

    h-index

1–5 of 745

Venues

  1. Statistics in Medicine

    21 publications · 900 citations

    19

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 15 publications · 957 citations

    12

    h-index

  3. Clinical Trials

    10 publications · 726 citations

    10

    h-index

  4. Biometrics

    6 publications · 700 citations

    6

    h-index

  5. Annals of Oncology

    5 publications · 179 citations

    5

    h-index

1–5