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Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance

Quantitative Systems Pharmacology (QSP) models provide a means of integrating knowledge into a quantitative framework and, ideally, this integration leads to a better understanding of biology and better predictions of new experiments and clinical trials. In practice, these goals may be compromised b...

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Detalles Bibliográficos
Autores principales: Stein, Andrew M., Looby, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118293/
https://www.ncbi.nlm.nih.gov/pubmed/29761883
http://dx.doi.org/10.1002/psp4.12311
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author Stein, Andrew M.
Looby, Michael
author_facet Stein, Andrew M.
Looby, Michael
author_sort Stein, Andrew M.
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description Quantitative Systems Pharmacology (QSP) models provide a means of integrating knowledge into a quantitative framework and, ideally, this integration leads to a better understanding of biology and better predictions of new experiments and clinical trials. In practice, these goals may be compromised by model complexity and uncertainty. To address these problems, we recommend that the predictive performance of QSP models be assessed through comparison with simpler models developed specifically for this purpose.
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spelling pubmed-61182932018-09-04 Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance Stein, Andrew M. Looby, Michael CPT Pharmacometrics Syst Pharmacol Perspectives Quantitative Systems Pharmacology (QSP) models provide a means of integrating knowledge into a quantitative framework and, ideally, this integration leads to a better understanding of biology and better predictions of new experiments and clinical trials. In practice, these goals may be compromised by model complexity and uncertainty. To address these problems, we recommend that the predictive performance of QSP models be assessed through comparison with simpler models developed specifically for this purpose. John Wiley and Sons Inc. 2018-08-22 2018-08 /pmc/articles/PMC6118293/ /pubmed/29761883 http://dx.doi.org/10.1002/psp4.12311 Text en © 2018 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 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 Perspectives
Stein, Andrew M.
Looby, Michael
Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title_full Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title_fullStr Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title_full_unstemmed Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title_short Benchmarking QSP Models Against Simple Models: A Path to Improved Comprehension and Predictive Performance
title_sort benchmarking qsp models against simple models: a path to improved comprehension and predictive performance
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118293/
https://www.ncbi.nlm.nih.gov/pubmed/29761883
http://dx.doi.org/10.1002/psp4.12311
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