NDLI: A matlab framework for estimation of NLME models using stochastic differential equations : Applications for estimation of insulin secretion rates

Please wait, while we are loading the content...

Modeling receptor/gene-mediated effects of corticosteroids on hepatic tyrosine aminotransferase dynamics in rats: dual regulation by endogenous and exogenous corticosteroids

Population pharmacokinetics of amodiaquine and desethylamodiaquine in pediatric patients with uncomplicated falciparum malaria

Physiologically-based pharmacokinetic (PBPK) model to predict IgG tissue kinetics in wild-type and FcRn-knockout mice

Implementation of a transit compartment model for describing drug absorption in pharmacokinetic studies

Journal of Pharmacokinetics and Pharmacodynamics : Volume 34, Issue 4, August 2007

Journal of Pharmacokinetics and Pharmacodynamics : Volume 34, Issue 3, June 2007

Journal of Pharmacokinetics and Pharmacodynamics : Volume 34, Issue 2, April 2007

Journal of Pharmacokinetics and Pharmacodynamics : Volume 34, Issue 1, February 2007

Journal of Pharmacokinetics and Pharmacodynamics : Volume 33

Journal of Pharmacokinetics and Pharmacodynamics : Volume 32

Journal of Pharmacokinetics and Pharmacodynamics : Volume 31

Journal of Pharmacokinetics and Pharmacodynamics : Volume 30

Journal of Pharmacokinetics and Pharmacodynamics : Volume 29

Journal of Pharmacokinetics and Pharmacodynamics : Volume 28

Journal of Pharmacokinetics and Pharmacodynamics : Volume 27

Journal of Pharmacokinetics and Pharmacodynamics : Volume 26

Journal of Pharmacokinetics and Pharmacodynamics : Volume 25

A matlab framework for estimation of NLME models using stochastic differential equations : Applications for estimation of insulin secretion rates

Content Provider	Springer Nature Link
Author	Mortensen, Stig B. Klim, Søren Dammann, Bernd Kristensen, Niels R. Madsen, Henrik Overgaard, Rune V.
Copyright Year	2007
Abstract	The non-linear mixed-effects model based on stochastic differential equations (SDEs) provides an attractive residual error model, that is able to handle serially correlated residuals typically arising from structural mis-specification of the true underlying model. The use of SDEs also opens up for new tools for model development and easily allows for tracking of unknown inputs and parameters over time. An algorithm for maximum likelihood estimation of the model has earlier been proposed, and the present paper presents the first general implementation of this algorithm. The implementation is done in Matlab and also demonstrates the use of parallel computing for improved estimation times. The use of the implementation is illustrated by two examples of application which focus on the ability of the model to estimate unknown inputs facilitated by the extension to SDEs. The first application is a deconvolution-type estimation of the insulin secretion rate based on a linear two-compartment model for C-peptide measurements. In the second application the model is extended to also give an estimate of the time varying liver extraction based on both C-peptide and insulin measurements.
Starting Page	623
Ending Page	642
Page Count	20
File Format	PDF
ISSN	1567567X
Journal	Journal of Pharmacokinetics and Pharmacodynamics
Volume Number	34
Issue Number	5
e-ISSN	15738744
Language	English
Publisher	Springer US
Publisher Date	2007-06-15
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-linear mixed-effects modelling SDE Kalman smoothing Deconvolution State-estimation Parameter tracking MatlabMPI PK/PD Biochemistry Biomedical Engineering Veterinary Medicine Pharmacy Pharmacology/Toxicology
Content Type	Text
Resource Type	Article
Subject	Pharmacology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Using Stochastic Differential Equations for PK/PD Model Development

Non-Linear Mixed-Effects Models with Stochastic Differential Equations: Implementation of an Estimation Algorithm

Stochastic nonlinear mixed effects: a metformin case study

Stochastic Differential Equations in NONMEM®: Implementation, Application, and Comparison with Ordinary Differential Equations

Grey-box Modelling of Pharmacokinetic /Pharmacodynamic Systems

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

Using spline-enhanced ordinary differential equations for PK/PD model development

Population Pharmacodynamic Parameter Estimation from Sparse Sampling: Effect of Sigmoidicity on Parameter Estimates

Pharmacokinetic/Pharmacodynamic Modellingof GnRH Antagonist Degarelix: A Comparisonof the Non-linear Mixed-Effects Programs NONMEM and NLME

A matlab framework for estimation of NLME models using stochastic differential equations : Applications for estimation of insulin secretion rates

Similar Documents

Using Stochastic Differential Equations for PK/PD Model Development

Non-Linear Mixed-Effects Models with Stochastic Differential Equations: Implementation of an Estimation Algorithm

Stochastic nonlinear mixed effects: a metformin case study

Stochastic Differential Equations in NONMEM®: Implementation, Application, and Comparison with Ordinary Differential Equations

Grey-box Modelling of Pharmacokinetic /Pharmacodynamic Systems

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

Using spline-enhanced ordinary differential equations for PK/PD model development

Population Pharmacodynamic Parameter Estimation from Sparse Sampling: Effect of Sigmoidicity on Parameter Estimates

Pharmacokinetic/Pharmacodynamic Modellingof GnRH Antagonist Degarelix: A Comparisonof the Non-linear Mixed-Effects Programs NONMEM and NLME

A matlab framework for estimation of NLME models using stochastic differential equations : Applications for estimation of insulin secretion rates