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
Parents
89
R. Brigg Turner, Kyle Kojiro, Emily A. Shephard et al. · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2018 · 130 citations
1–5 of 89
409
Indiana University – Purdue University Indianapolis, United States
5 publications · 273 citations
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Indiana University – Purdue University Indianapolis, United States
4 publications · 145 citations
4
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Indiana University – Purdue University Indianapolis, United States
4 publications · 145 citations
4
h-index
1–5 of 409
189
University of Southern California
Los Angeles, United States
7 h-index
17 publications
991 citations

The University of Queensland
Brisbane, Australia
6 h-index
12 publications
350 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
5 h-index
17 publications
812 citations
United States Department of Veterans Affairs
Washington, United States
4 h-index
14 publications
1.2K citations
Inserm
Paris, France
4 h-index
17 publications
562 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
10 publications
135 citations

Royal Brisbane and Women's Hospital
Brisbane, Australia
3 h-index
5 publications
160 citations

University of Manchester
Manchester, United Kingdom
3 h-index
7 publications
222 citations
1–8 of 189
17 publications · 409 citations
14
h-index
7 publications · 259 citations
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AAC · 4 publications · 226 citations
4
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BJCP · 4 publications · 209 citations
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CPT · 3 publications · 209 citations
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