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PKconverter: R package to convert the pharmacokinetic parameters

Population pharmacokinetic analysis and modeling procedures typically require estimates of both population and individual pharmacokinetic parameters. However, only some of these parameters are contained in models and only parameters in the model can be estimated. In this paper, we introduce a new R...

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Detalles Bibliográficos
Autores principales: Cho, Hyeseon, Lee, Eun-Kyung
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/PMC6989246/
https://www.ncbi.nlm.nih.gov/pubmed/32055585
http://dx.doi.org/10.12793/tcp.2019.27.2.73
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author Cho, Hyeseon
Lee, Eun-Kyung
author_facet Cho, Hyeseon
Lee, Eun-Kyung
author_sort Cho, Hyeseon
collection PubMed
description Population pharmacokinetic analysis and modeling procedures typically require estimates of both population and individual pharmacokinetic parameters. However, only some of these parameters are contained in models and only parameters in the model can be estimated. In this paper, we introduce a new R package, PKconverter, to calculate pharmacokinetic parameters using the relationships among them. After fitting the model, other parameters can be calculated from the functional relationship among the parameters. PKconverter provides the functions to calculate whole parameters along with a Shiny application for converting the parameters. With this package, it is also possible to calculate the standard errors of the other parameters that are not in the model and estimate individual parameters simultaneously.
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spelling pubmed-69892462020-02-13 PKconverter: R package to convert the pharmacokinetic parameters Cho, Hyeseon Lee, Eun-Kyung Transl Clin Pharmacol Original Article Population pharmacokinetic analysis and modeling procedures typically require estimates of both population and individual pharmacokinetic parameters. However, only some of these parameters are contained in models and only parameters in the model can be estimated. In this paper, we introduce a new R package, PKconverter, to calculate pharmacokinetic parameters using the relationships among them. After fitting the model, other parameters can be calculated from the functional relationship among the parameters. PKconverter provides the functions to calculate whole parameters along with a Shiny application for converting the parameters. With this package, it is also possible to calculate the standard errors of the other parameters that are not in the model and estimate individual parameters simultaneously. Korean Society for Clinical Pharmacology and Therapeutics 2019-06 2019-06-28 /pmc/articles/PMC6989246/ /pubmed/32055585 http://dx.doi.org/10.12793/tcp.2019.27.2.73 Text en Copyright © 2019 Translational and Clinical Pharmacology 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 Original Article
Cho, Hyeseon
Lee, Eun-Kyung
PKconverter: R package to convert the pharmacokinetic parameters
title PKconverter: R package to convert the pharmacokinetic parameters
title_full PKconverter: R package to convert the pharmacokinetic parameters
title_fullStr PKconverter: R package to convert the pharmacokinetic parameters
title_full_unstemmed PKconverter: R package to convert the pharmacokinetic parameters
title_short PKconverter: R package to convert the pharmacokinetic parameters
title_sort pkconverter: r package to convert the pharmacokinetic parameters
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989246/
https://www.ncbi.nlm.nih.gov/pubmed/32055585
http://dx.doi.org/10.12793/tcp.2019.27.2.73
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