Model-based Dose Individualization
Model-Based Dose Individualization is a pharmacokinetic modeling strategy that employs population pharmacokinetic models and Bayesian inference to tailor drug dosing regimens to individual patients by updating prior expectations with patient-specific data to optimize therapeutic outcomes.
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3K
Citations
317
Authors
142
Institutions
Publications per year
2017–2026
19
Variants
MipdModel-informed Precision Dosing
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Christian Wagner, Ping Zhao, Y. Pan et al. · CPT Pharmacometrics & Systems Pharmacology · 2015 · 268 citations · Full text
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142

Uppsala University
Uppsala, Sweden
8 h-index
20 publications
745 citations

University of Manchester
Manchester, United Kingdom
4 h-index
4 publications
161 citations
Impact
Ottawa, Canada
2 h-index
3 publications
88 citations
United States Food and Drug Administration
Silver Spring, United States
2 h-index
10 publications
1.9K citations
University of Southern California
Los Angeles, United States
2 h-index
5 publications
410 citations

McMaster University
Hamilton, Canada
2 h-index
3 publications
88 citations

Gazi University
Ankara, Turkey
2 h-index
3 publications
154 citations
Bayer (Germany)
Leverkusen, Germany
2 h-index
4 publications
330 citations
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4 publications · 103 citations
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CPT · 4 publications · 205 citations
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2 publications · 32 citations
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BJCP · 2 publications · 87 citations
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DMPK · 2 publications · 165 citations
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