Bayesian Pharmacodynamic Modeling

Bayesian Pharmacodynamic Modeling is a statistical modeling framework within pharmacodynamics that incorporates prior knowledge and observed data through Bayesian inference to estimate model parameters and quantify uncertainty in drug-response relationships.

63

Publications

2.2K

Citations

258

Authors

152

Institutions

Publications per year

2017–2026

14

Authors

258

  1. GL
    Gary L. Rosner

    Johns Hopkins University, United States

    4 publications · 209 citations

    4

    h-index

  2. JW
    Jon Wakefield

    University of Washington, United States

    3 publications · 168 citations

    3

    h-index

  3. PM
    Peter Müller

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 172 citations

    3

    h-index

  4. NT
    Neal Thomas

    Pfizer (United States), United States

    2 publications · 42 citations

    2

    h-index

  5. MK
    Michael K. Smith

    Pfizer (United Kingdom), United Kingdom

    2 publications · 73 citations

    2

    h-index

1–5 of 258

Venues

  1. Journal of Biopharmaceutical Statistics

    JBS · 6 publications · 153 citations

    6

    h-index

  2. Statistics in Medicine

    5 publications · 196 citations

    5

    h-index

  3. 4

    h-index

  4. Journal of Pharmaceutical Sciences

    4 publications · 83 citations

    4

    h-index

  5. Clinical Pharmacokinetics

    3 publications · 111 citations

    3

    h-index

1–5