Literature DB >> 15313540

Non-linear mixed-effects pharmacokinetic/pharmacodynamic modelling in NLME using differential equations.

Christoffer W Tornøe1, Henrik Agersø, E Niclas Jonsson, Henrik Madsen, Henrik A Nielsen.   

Abstract

The standard software for non-linear mixed-effect analysis of pharmacokinetic/pharmacodynamic (PK/PD) data is NONMEM while the non-linear mixed-effects package NLME is an alternative as long as the models are fairly simple. We present the nlmeODE package which combines the ordinary differential equation (ODE) solver package odesolve and the non-linear mixed effects package NLME thereby enabling the analysis of complicated systems of ODEs by non-linear mixed-effects modelling. The pharmacokinetics of the anti-asthmatic drug theophylline is used to illustrate the applicability of the nlmeODE package for population PK/PD analysis using the available data analysis tools in R for model inspection and validation. The nlmeODE package is numerically stable and provides accurate parameter estimates which are consistent with NONMEM estimates.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15313540     DOI: 10.1016/j.cmpb.2004.01.001

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  10 in total

1.  A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects.

Authors:  Sy-Miin Chow; Jason J Bendezú; Pamela M Cole; Nilam Ram
Journal:  Multivariate Behav Res       Date:  2016 Mar-Jun       Impact factor: 5.923

2.  Semiparametric mixed-effects analysis of PK/PD models using differential equations.

Authors:  Yi Wang; Kent M Eskridge; Shunpu Zhang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-09-10       Impact factor: 2.745

3.  Pharmacokinetic/pharmacodynamic modelling of GnRH antagonist degarelix: a comparison of the non-linear mixed-effects programs NONMEM and NLME.

Authors:  Christoffer W Tornøe; Henrik Agersø; Henrik A Nielsen; Henrik Madsen; E Niclas Jonsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-12       Impact factor: 2.745

4.  A HIERARCHICAL FUNCTIONAL DATA ANALYTIC APPROACH FOR ANALYZING PHYSIOLOGICALLY BASED PHARMACOKINETIC MODELS.

Authors:  Siddhartha Mandal; Pranab K Sen; Shyamal D Peddada
Journal:  Environmetrics       Date:  2013-05-01       Impact factor: 1.900

5.  Stochastic nonlinear mixed effects: a metformin case study.

Authors:  Brett Matzuka; Jason Chittenden; Jonathan Monteleone; Hien Tran
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-11-19       Impact factor: 2.745

6.  A computational systems biology software platform for multiscale modeling and simulation: integrating whole-body physiology, disease biology, and molecular reaction networks.

Authors:  Thomas Eissing; Lars Kuepfer; Corina Becker; Michael Block; Katrin Coboeken; Thomas Gaub; Linus Goerlitz; Juergen Jaeger; Roland Loosen; Bernd Ludewig; Michaela Meyer; Christoph Niederalt; Michael Sevestre; Hans-Ulrich Siegmund; Juri Solodenko; Kirstin Thelen; Ulrich Telle; Wolfgang Weiss; Thomas Wendl; Stefan Willmann; Joerg Lippert
Journal:  Front Physiol       Date:  2011-02-24       Impact factor: 4.566

7.  Bayesian Population Physiologically-Based Pharmacokinetic (PBPK) Approach for a Physiologically Realistic Characterization of Interindividual Variability in Clinically Relevant Populations.

Authors:  Markus Krauss; Kai Tappe; Andreas Schuppert; Lars Kuepfer; Linus Goerlitz
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

8.  Step-by-step comparison of ordinary differential equation and agent-based approaches to pharmacokinetic-pharmacodynamic models.

Authors:  Van Thuy Truong; Paul G Baverel; Grant D Lythe; Paolo Vicini; James W T Yates; Vincent F S Dubois
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-01

9.  Early diagnosis of gestational trophoblastic neoplasia based on trajectory classification with compartment modeling.

Authors:  Claire Burny; Muriel Rabilloud; François Golfier; Jérôme Massardier; Touria Hajri; Anne-Marie Schott; Fabien Subtil
Journal:  BMC Med Res Methodol       Date:  2016-01-05       Impact factor: 4.615

10.  The effect of sowing time on the growth of chia (Salvia hispanica L.): What do nonlinear mixed models tell us about it?

Authors:  Diana Carolina Rodríguez-Abello; Jorge Augusto Navarro-Alberto; Luis Ramírez-Avilés; Roberto Zamora-Bustillos
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.