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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...
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/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. |
format | Online Article Text |
id | pubmed-6989246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Society for Clinical Pharmacology and Therapeutics |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chohyeseon pkconverterrpackagetoconvertthepharmacokineticparameters AT leeeunkyung pkconverterrpackagetoconvertthepharmacokineticparameters |