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PharmML in Action: an Interoperable Language for Modeling and Simulation
PharmML1 is an XML‐based exchange format2, 3, 4 created with a focus on nonlinear mixed‐effect (NLME) models used in pharmacometrics,5, 6 but providing a very general framework that also allows describing mathematical and statistical models such as single‐subject or nonlinear and multivariate regres...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658288/ https://www.ncbi.nlm.nih.gov/pubmed/28575551 http://dx.doi.org/10.1002/psp4.12213 |
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author | Bizzotto, R Comets, E Smith, G Yvon, F Kristensen, NR Swat, MJ |
author_facet | Bizzotto, R Comets, E Smith, G Yvon, F Kristensen, NR Swat, MJ |
author_sort | Bizzotto, R |
collection | PubMed |
description | PharmML1 is an XML‐based exchange format2, 3, 4 created with a focus on nonlinear mixed‐effect (NLME) models used in pharmacometrics,5, 6 but providing a very general framework that also allows describing mathematical and statistical models such as single‐subject or nonlinear and multivariate regression models. This tutorial provides an overview of the structure of this language, brief suggestions on how to work with it, and use cases demonstrating its power and flexibility. |
format | Online Article Text |
id | pubmed-5658288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56582882017-10-27 PharmML in Action: an Interoperable Language for Modeling and Simulation Bizzotto, R Comets, E Smith, G Yvon, F Kristensen, NR Swat, MJ CPT Pharmacometrics Syst Pharmacol Tutorial PharmML1 is an XML‐based exchange format2, 3, 4 created with a focus on nonlinear mixed‐effect (NLME) models used in pharmacometrics,5, 6 but providing a very general framework that also allows describing mathematical and statistical models such as single‐subject or nonlinear and multivariate regression models. This tutorial provides an overview of the structure of this language, brief suggestions on how to work with it, and use cases demonstrating its power and flexibility. John Wiley and Sons Inc. 2017-09-15 2017-10 /pmc/articles/PMC5658288/ /pubmed/28575551 http://dx.doi.org/10.1002/psp4.12213 Text en © 2017 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 Bizzotto, R Comets, E Smith, G Yvon, F Kristensen, NR Swat, MJ PharmML in Action: an Interoperable Language for Modeling and Simulation |
title | PharmML in Action: an Interoperable Language for Modeling and Simulation |
title_full | PharmML in Action: an Interoperable Language for Modeling and Simulation |
title_fullStr | PharmML in Action: an Interoperable Language for Modeling and Simulation |
title_full_unstemmed | PharmML in Action: an Interoperable Language for Modeling and Simulation |
title_short | PharmML in Action: an Interoperable Language for Modeling and Simulation |
title_sort | pharmml in action: an interoperable language for modeling and simulation |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658288/ https://www.ncbi.nlm.nih.gov/pubmed/28575551 http://dx.doi.org/10.1002/psp4.12213 |
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