Bayesian Dose Estimation Sampling

Bayesian Dose Estimation Sampling is a pharmacokinetic sampling strategy that uses Bayesian inference to optimize individualized dosing regimens by integrating prior population pharmacokinetic data with sparse patient-specific concentration measurements to update posterior parameter estimates for precise dose adjustment.

3

Publications

69

Citations

15

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

15

  1. TS
    Thomas Storme

    Hôpital Robert-Debré, France

    1 publications · 12 citations

    1

    h-index

  2. JD
    Jean Debord

    Université de Limoges, France

    1 publications · 14 citations

    1

    h-index

  3. JW
    Jean‐Baptiste Woillard

    Université de Limoges, France

    1 publications · 14 citations

    1

    h-index

  4. WI
    W.C. Inkret

    Los Alamos National Laboratory, United States

    1 publications · 43 citations

    1

    h-index

  5. VB
    Véronique Baudouin

    Hôpital Robert-Debré, France

    1 publications · 12 citations

    1

    h-index

1–5 of 15

Venues

  1. Radiation Protection Dosimetry

    1 publications · 43 citations

    1

    h-index

  2. European Journal of Clinical Pharmacology

    1 publications · 12 citations

    1

    h-index

  3. Clinical Pharmacokinetics

    1 publications · 14 citations

    1

    h-index

1–3