Model-based Dose Escalation

Model-Based Dose Escalation is a dose-finding methodology in clinical trial design that uses statistical models to guide the escalation of drug dosage by continuously estimating the relationship between dose levels and toxicity outcomes.

92

Publications

4.2K

Citations

376

Authors

187

Institutions

Publications per year

2017–2026

43

Variants

Model-based Dose Finding

Authors

376

  1. YY
    Ying Yuan

    The University of Texas MD Anderson Cancer Center, United States

    8 publications · 607 citations

    8

    h-index

  2. TJ
    Thomas Jaki

    Lancaster University, United Kingdom

    6 publications · 205 citations

    6

    h-index

  3. YJ
    Yuan Ji

    Endeavor Health, United States

    6 publications · 359 citations

    6

    h-index

  4. AM
    Adrian Mander

    MRC Biostatistics Unit, United Kingdom

    4 publications · 255 citations

    4

    h-index

  5. GY
    Guosheng Yin

    University of Hong Kong, Hong Kong SAR China

    4 publications · 258 citations

    4

    h-index

1–5 of 376

Venues

  1. Statistics in Medicine

    11 publications · 499 citations

    11

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 6 publications · 151 citations

    6

    h-index

  3. Pharmaceutical Statistics

    5 publications · 206 citations

    5

    h-index

  4. Clinical Cancer Research

    4 publications · 326 citations

    4

    h-index

  5. BMC Medical Research Methodology

    3 publications · 170 citations

    3

    h-index

1–5