Bayesian Dosing Algorithms

Bayesian Dosing Algorithms is a computational method that uses Bayesian inference to iteratively update individual pharmacokinetic parameter estimates and optimize drug dosage regimens by integrating prior population data with observed patient-specific therapeutic drug monitoring measurements.

89

Publications

3.4K

Citations

409

Authors

189

Institutions

Publications per year

2017–2026

19

Authors

409

  1. MR
    Michael R. Vasko

    Indiana University – Purdue University Indianapolis, United States

    5 publications · 273 citations

    5

    h-index

  2. SB
    Stephen B. Duffull

    University of Otago, New Zealand

    5 publications · 262 citations

    5

    h-index

  3. MB
    Michael Burton

    UNSW Sydney, Australia

    4 publications · 241 citations

    4

    h-index

  4. DC
    D. Craig Brater

    Indiana University – Purdue University Indianapolis, United States

    4 publications · 145 citations

    4

    h-index

  5. RD
    Ron Day

    Indiana University – Purdue University Indianapolis, United States

    4 publications · 145 citations

    4

    h-index

1–5 of 409

Venues

  1. Therapeutic Drug Monitoring

    17 publications · 409 citations

    14

    h-index

  2. Clinical Pharmacokinetics

    7 publications · 259 citations

    7

    h-index

  3. Antimicrobial Agents and Chemotherapy

    AAC · 4 publications · 226 citations

    4

    h-index

  4. British Journal of Clinical Pharmacology

    BJCP · 4 publications · 209 citations

    4

    h-index

  5. Clinical Pharmacology & Therapeutics

    CPT · 3 publications · 209 citations

    3

    h-index

1–5