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A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R
This tutorial presents the application of an R package, RxODE, that facilitates quick, efficient simulations of ordinary differential equation models completely within R. Its application is illustrated through simulation of design decision effects on an adaptive dosing regimen. The package provides...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/ https://www.ncbi.nlm.nih.gov/pubmed/26844010 http://dx.doi.org/10.1002/psp4.12052 |
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author | Wang, W Hallow, KM James, DA |
author_facet | Wang, W Hallow, KM James, DA |
author_sort | Wang, W |
collection | PubMed |
description | This tutorial presents the application of an R package, RxODE, that facilitates quick, efficient simulations of ordinary differential equation models completely within R. Its application is illustrated through simulation of design decision effects on an adaptive dosing regimen. The package provides an efficient, versatile way to specify dosing scenarios and to perform simulation with variability with minimal custom coding. Models can be directly translated to Rshiny applications to facilitate interactive, real‐time evaluation/iteration on simulation scenarios. |
format | Online Article Text |
id | pubmed-4728294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47282942016-02-03 A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R Wang, W Hallow, KM James, DA CPT Pharmacometrics Syst Pharmacol Tutorial This tutorial presents the application of an R package, RxODE, that facilitates quick, efficient simulations of ordinary differential equation models completely within R. Its application is illustrated through simulation of design decision effects on an adaptive dosing regimen. The package provides an efficient, versatile way to specify dosing scenarios and to perform simulation with variability with minimal custom coding. Models can be directly translated to Rshiny applications to facilitate interactive, real‐time evaluation/iteration on simulation scenarios. John Wiley and Sons Inc. 2015-12-19 2016-01 /pmc/articles/PMC4728294/ /pubmed/26844010 http://dx.doi.org/10.1002/psp4.12052 Text en © 2015 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Tutorial Wang, W Hallow, KM James, DA A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title | A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title_full | A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title_fullStr | A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title_full_unstemmed | A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title_short | A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R |
title_sort | tutorial on rxode: simulating differential equation pharmacometric models in r |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/ https://www.ncbi.nlm.nih.gov/pubmed/26844010 http://dx.doi.org/10.1002/psp4.12052 |
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