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Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R

The analytical solution for multi-compartment models with a non-zero initial condition is complex because of the inter-compartmental transfer. An elegant solution and its implementation in the ‘wnl' R package can be useful in solving examples of textbooks and developing software of therapeutic...

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Detalles Bibliográficos
Autores principales: D'Argenio, David Z., Bae, Kyun-Seop
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Clinical Pharmacology and Therapeutics 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989245/
https://www.ncbi.nlm.nih.gov/pubmed/32055580
http://dx.doi.org/10.12793/tcp.2019.27.2.43
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author D'Argenio, David Z.
Bae, Kyun-Seop
author_facet D'Argenio, David Z.
Bae, Kyun-Seop
author_sort D'Argenio, David Z.
collection PubMed
description The analytical solution for multi-compartment models with a non-zero initial condition is complex because of the inter-compartmental transfer. An elegant solution and its implementation in the ‘wnl' R package can be useful in solving examples of textbooks and developing software of therapeutic drug monitoring, pharmacokinetic simulation, and parameter estimation. This solution uses Laplace transformation, convolution, matrix inversion, and the fact that the general solution of an inhomogeneous ordinary differential equation is the sum of a homogenous and a particular solution, together.
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spelling pubmed-69892452020-02-13 Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R D'Argenio, David Z. Bae, Kyun-Seop Transl Clin Pharmacol Tutorial The analytical solution for multi-compartment models with a non-zero initial condition is complex because of the inter-compartmental transfer. An elegant solution and its implementation in the ‘wnl' R package can be useful in solving examples of textbooks and developing software of therapeutic drug monitoring, pharmacokinetic simulation, and parameter estimation. This solution uses Laplace transformation, convolution, matrix inversion, and the fact that the general solution of an inhomogeneous ordinary differential equation is the sum of a homogenous and a particular solution, together. Korean Society for Clinical Pharmacology and Therapeutics 2019-06 2019-06-28 /pmc/articles/PMC6989245/ /pubmed/32055580 http://dx.doi.org/10.12793/tcp.2019.27.2.43 Text en Copyright © 2019 David Z. D'Argenio and Kyun-Seop Bae http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Tutorial
D'Argenio, David Z.
Bae, Kyun-Seop
Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title_full Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title_fullStr Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title_full_unstemmed Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title_short Analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with R
title_sort analytical solution of linear multi-compartment models with non-zero initial condition and its implementation with r
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989245/
https://www.ncbi.nlm.nih.gov/pubmed/32055580
http://dx.doi.org/10.12793/tcp.2019.27.2.43
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