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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Clinical Pharmacology and Therapeutics
2019
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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. |
format | Online Article Text |
id | pubmed-6989245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Society for Clinical Pharmacology and Therapeutics |
record_format | MEDLINE/PubMed |
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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