185 related articles for article (PubMed ID: 26585899)
1. Stochastic nonlinear mixed effects: a metformin case study.
Matzuka B; Chittenden J; Monteleone J; Tran H
J Pharmacokinet Pharmacodyn; 2016 Feb; 43(1):85-98. PubMed ID: 26585899
[TBL] [Abstract][Full Text] [Related]
2. Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics.
Olafsdottir HK; Leander J; Almquist J; Jirstrand M
AAPS J; 2018 Aug; 20(5):88. PubMed ID: 30069613
[TBL] [Abstract][Full Text] [Related]
3. Stochastic differential equations in NONMEM: implementation, application, and comparison with ordinary differential equations.
Tornøe CW; Overgaard RV; Agersø H; Nielsen HA; Madsen H; Jonsson EN
Pharm Res; 2005 Aug; 22(8):1247-58. PubMed ID: 16078134
[TBL] [Abstract][Full Text] [Related]
4. Non-linear mixed-effects models with stochastic differential equations: implementation of an estimation algorithm.
Overgaard RV; Jonsson N; Tornøe CW; Madsen H
J Pharmacokinet Pharmacodyn; 2005 Feb; 32(1):85-107. PubMed ID: 16175312
[TBL] [Abstract][Full Text] [Related]
5. Application of an NLME-Stochastic Deconvolution Approach to Level A IVIVC Modeling.
Kakhi M; Suarez-Sharp S; Shepard T; Chittenden J
J Pharm Sci; 2017 Jul; 106(7):1905-1916. PubMed ID: 28341596
[TBL] [Abstract][Full Text] [Related]
6. Population stochastic modelling (PSM)--an R package for mixed-effects models based on stochastic differential equations.
Klim S; Mortensen SB; Kristensen NR; Overgaard RV; Madsen H
Comput Methods Programs Biomed; 2009 Jun; 94(3):279-89. PubMed ID: 19268387
[TBL] [Abstract][Full Text] [Related]
7. Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter.
Ou L; Hunter MD; Lu Z; Stifter CA; Chow SM
Br J Math Stat Psychol; 2023 Nov; 76(3):462-490. PubMed ID: 37674379
[TBL] [Abstract][Full Text] [Related]
8. A matlab framework for estimation of NLME models using stochastic differential equations: applications for estimation of insulin secretion rates.
Mortensen SB; Klim S; Dammann B; Kristensen NR; Madsen H; Overgaard RV
J Pharmacokinet Pharmacodyn; 2007 Oct; 34(5):623-42. PubMed ID: 17571242
[TBL] [Abstract][Full Text] [Related]
9. Modeling of pharmacokinetic systems using stochastic deconvolution.
Kakhi M; Chittenden J
J Pharm Sci; 2013 Dec; 102(12):4433-43. PubMed ID: 24174399
[TBL] [Abstract][Full Text] [Related]
10. Kalman filter parameter estimation for a nonlinear diffusion model of epithelial cell migration using stochastic collocation and the Karhunen-Loeve expansion.
Barber J; Tanase R; Yotov I
Math Biosci; 2016 Jun; 276():133-44. PubMed ID: 27085426
[TBL] [Abstract][Full Text] [Related]
11. Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats.
Leander J; Almquist J; Ahlström C; Gabrielsson J; Jirstrand M
AAPS J; 2015 May; 17(3):586-96. PubMed ID: 25693487
[TBL] [Abstract][Full Text] [Related]
12. Model identification using stochastic differential equation grey-box models in diabetes.
Duun-Henriksen AK; Schmidt S; Røge RM; Møller JB; Nørgaard K; Jørgensen JB; Madsen H
J Diabetes Sci Technol; 2013 Mar; 7(2):431-40. PubMed ID: 23567002
[TBL] [Abstract][Full Text] [Related]
13. Using spline-enhanced ordinary differential equations for PK/PD model development.
Wang Y; Eskridge K; Zhang S; Wang D
J Pharmacokinet Pharmacodyn; 2008 Oct; 35(5):553-71. PubMed ID: 18989761
[TBL] [Abstract][Full Text] [Related]
14. A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models.
Donnet S; Samson A
Adv Drug Deliv Rev; 2013 Jun; 65(7):929-39. PubMed ID: 23528446
[TBL] [Abstract][Full Text] [Related]
15. Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.
Leander J; Lundh T; Jirstrand M
Math Biosci; 2014 May; 251():54-62. PubMed ID: 24631177
[TBL] [Abstract][Full Text] [Related]
16. Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test.
Møller JB; Overgaard RV; Madsen H; Hansen T; Pedersen O; Ingwersen SH
J Pharmacokinet Pharmacodyn; 2010 Feb; 37(1):85-98. PubMed ID: 20013304
[TBL] [Abstract][Full Text] [Related]
17. Parameter estimation and change-point detection from Dynamic Contrast Enhanced MRI data using stochastic differential equations.
Cuenod CA; Favetto B; Genon-Catalot V; Rozenholc Y; Samson A
Math Biosci; 2011 Sep; 233(1):68-76. PubMed ID: 21741391
[TBL] [Abstract][Full Text] [Related]
18. Parametric Bayesian filters for nonlinear stochastic dynamical systems: a survey.
Stano P; Lendek Z; Braaksma J; Babuska R; de Keizer C; den Dekker AJ
IEEE Trans Cybern; 2013 Dec; 43(6):1607-24. PubMed ID: 23757593
[TBL] [Abstract][Full Text] [Related]
19. Density-based Monte Carlo filter and its applications in nonlinear stochastic differential equation models.
Huang G; Wan J; Chen H
Comput Biol Med; 2013 Feb; 43(2):135-43. PubMed ID: 23246109
[TBL] [Abstract][Full Text] [Related]
20. A Nonlinear Mixed Effects Approach for Modeling the Cell-To-Cell Variability of Mig1 Dynamics in Yeast.
Almquist J; Bendrioua L; Adiels CB; Goksör M; Hohmann S; Jirstrand M
PLoS One; 2015; 10(4):e0124050. PubMed ID: 25893847
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]