First-order Conditional Estimation
First-Order Conditional Estimation is a parameter estimation method in population pharmacokinetic modeling that belongs to the class of nonlinear mixed-effects modeling techniques, distinguished by its use of a first-order approximation to the conditional likelihood of individual parameters given the observed data and population estimates.
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2017–2026
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Population Pharmacokinetics of Vancomycin in Japanese Adult Patients
Masato Yasuhara, Tatsuji Iga, HIROSHI ZENDA et al. · Therapeutic Drug Monitoring · 1998 · 161 citations
Population Pharmacokinetics of Vancomycin in Japanese Pediatric Patients
Masato Yasuhara, Tatsuji Iga, HIROSHI ZENDA et al. · Therapeutic Drug Monitoring · 1998 · 139 citations · Full text
Phylinda L. S. Chan, Philippe Jacqmin, Marc Lavielle et al. · Journal of Pharmacokinetics and Pharmacodynamics · 2010 · 88 citations · Full text
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Inserm
Paris, France
4 h-index
8 publications
264 citations
Université Paris Cité
Paris, France
3 h-index
8 publications
219 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
4 publications
104 citations

Children's Hospital of Philadelphia
Philadelphia, United States
3 h-index
7 publications
195 citations
Tokyo Medical and Dental University Hospital
Tokyo, Japan
2 h-index
2 publications
300 citations
University of Utah
Salt Lake City, United States
2 h-index
9 publications
221 citations
Seoul National University
Seoul, South Korea
2 h-index
2 publications
32 citations

The University of Sydney
Sydney, Australia
2 h-index
3 publications
201 citations
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4 publications · 374 citations
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2 publications · 33 citations
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2 publications · 113 citations
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BJCP · 2 publications · 36 citations
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1 publications · 18 citations
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