Cargando…
Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood
The first order conditional estimation (FOCE) method is still one of the parameter estimation workhorses for nonlinear mixed effects (NLME) modeling used in population pharmacokinetics and pharmacodynamics. However, because this method involves two nested levels of optimizations, with respect to the...
Autores principales: | Almquist, Joachim, Leander, Jacob, Jirstrand, Mats |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432110/ https://www.ncbi.nlm.nih.gov/pubmed/25801663 http://dx.doi.org/10.1007/s10928-015-9409-1 |
Ejemplares similares
-
Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats
por: Leander, Jacob, et al.
Publicado: (2015) -
Joint Feedback Analysis Modeling of Nonesterified Fatty Acids in Obese Zucker Rats and Normal Sprague–Dawley Rats after Different Routes of Administration of Nicotinic Acid
por: Tapani, Sofia, et al.
Publicado: (2014) -
Performance of the SAEM and FOCEI Algorithms in the Open‐Source, Nonlinear Mixed Effect Modeling Tool nlmixr
por: Schoemaker, Rik, et al.
Publicado: (2019) -
Approximate Likelihood
por: CRANMER, Kyle Stuart
Publicado: (2015) -
A smooth approximation to the alternating gradient orbit equations
por: Symon, K R
Publicado: (1954)