دورية أكاديمية
Navigating the landscape of parameter identifiability methods: A workflow recommendation for model development
| العنوان: | Navigating the landscape of parameter identifiability methods: A workflow recommendation for model development |
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| المؤلفون: | Martijn vanNoort, Martijn Ruppert, Joost DeJongh, Eleonora Marostica, Rolien Bosch, Emir Mešić, Nelleke Snelder |
| المصدر: | CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 7, Pp 1170-1179 (2024) |
| بيانات النشر: | Wiley, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Therapeutics. Pharmacology |
| مصطلحات موضوعية: | Therapeutics. Pharmacology, RM1-950 |
| الوصف: | Abstract In pharmacometric modeling, it is often important to know whether the data is sufficiently rich to identify the parameters of a proposed model. While it may be possible to assess this based on the results of a model fit, it is often difficult to disentangle identifiability issues from other model fitting and numerical problems. Furthermore, it can be of value to ascertain identifiability beforehand. This paper compares four methods for parameter identifiability, namely Differential Algebra for Identifiability of SYstems (DAISY), the sensitivity matrix method (SMM), Aliasing, and the Fisher information matrix method (FIMM). We discuss the characteristics of the methods and apply them to a set of applications, consisting of frequently used PK model structures, with suitable dosing regimens and sampling times. These applications were selected to validate the methods and demonstrate their usefulness. While traditional identifiability analysis provides a categorical result [PLoS One, 6, 2011, e27755; CPT Pharmacometrics Syst Pharmacol, 8, 2019, 259; Bioinformatics, 30, 2014, 1440], we argue that in practice a continuous scale better reflects the limitations on the data and is more informative. The methods were generally consistent in their evaluation of the applications. The Fisher information matrix method seemed to provide the most consistent answers. All methods provided information on the parameters that were unidentifiable. Some of the results were unexpected, indicating identifiability issues where none were foreseen, but could be explained upon further analysis. This illustrated the usefulness of identifiability assessment. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2163-8306 66672430 |
| Relation: | https://doaj.org/toc/2163-8306 |
| DOI: | 10.1002/psp4.13148 |
| URL الوصول: | https://doaj.org/article/e80746c66672430b9aa2571b5c7e641f |
| رقم الأكسشن: | edsdoj.80746c66672430b9aa2571b5c7e641f |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21638306 66672430 |
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| DOI: | 10.1002/psp4.13148 |