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
Parents
3
Ida Robertsen, Jean Debord, Anders Åsberg et al. · Clinical Pharmacokinetics · 2018 · 14 citations
Wei Zhao, Anne Maisin, Véronique Baudouin et al. · European Journal of Clinical Pharmacology · 2012 · 12 citations · Full text
1–3 of 3
15
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 15
9
Inserm
Paris, France
2 h-index
6 publications
78 citations

Université de Limoges
Limoges, France
1 h-index
3 publications
42 citations
Sorbonne Paris Cité
Paris, France
1 h-index
2 publications
24 citations
Oslo University Hospital
Oslo, Norway
1 h-index
1 publications
14 citations
Assistance Publique – Hôpitaux de Paris
Paris, France
1 h-index
7 publications
84 citations

University of Oslo
Oslo, Norway
1 h-index
2 publications
28 citations
Délégation Paris 7
Bagnolet, France
1 h-index
2 publications
24 citations
Hôpital Robert-Debré
Paris, France
1 h-index
7 publications
84 citations
1–8 of 9
1 publications · 43 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 14 citations
1
h-index
1–3