Residual Variability Modeling
Residual Variability Modeling is the statistical framework within Bayesian population pharmacokinetics that accounts for unexplained intra- and inter-individual variability in observed drug concentration data after incorporating fixed and random effects.
58
Publications
4.5K
Citations
236
Authors
118
Institutions
Publications per year
2017–2026
9
58
3D statistical neuroanatomical models from 305 MRI volumes
Alan C. Evans, D. Louis Collins, Susan Mills et al. · 2005 · 1.5K citations
Medicine, Neurobiology, Neuroscience +17
1–5 of 58
236
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 29 citations
2
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2
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2
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1–5 of 236
118
Utrecht University
Utrecht, The Netherlands
3 h-index
4 publications
185 citations

Slotervaartziekenhuis
Amsterdam, Netherlands
3 h-index
15 publications
700 citations
NOAA National Marine Fisheries Service Northwest Fisheries Science Center
Seattle, United States
2 h-index
2 publications
204 citations

St. Marianna University School of Medicine
Kawasaki, Japan
2 h-index
9 publications
327 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
115 citations

AgroParisTech
Palaiseau, France
2 h-index
4 publications
111 citations
University of California, San Francisco
San Francisco, United States
2 h-index
4 publications
358 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
2 h-index
3 publications
64 citations
1–8 of 118
5 publications · 319 citations
5
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4 publications · 239 citations
4
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BJCP · 3 publications · 160 citations
3
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CPT · 2 publications · 55 citations
2
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AAC · 2 publications · 135 citations
2
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