دورية أكاديمية
Bayesian inference for generalized linear mixed model based on the multivariate t distribution in population pharmacokinetic study.
| العنوان: | Bayesian inference for generalized linear mixed model based on the multivariate t distribution in population pharmacokinetic study. |
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| المؤلفون: | Fang-Rong Yan, Yuan Huang, Jun-Lin Liu, Tao Lu, Jin-Guan Lin |
| المصدر: | PLoS ONE, Vol 8, Iss 3, p e58369 (2013) |
| بيانات النشر: | Public Library of Science (PLoS), 2013. |
| سنة النشر: | 2013 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | This article provides a fully bayesian approach for modeling of single-dose and complete pharmacokinetic data in a population pharmacokinetic (PK) model. To overcome the impact of outliers and the difficulty of computation, a generalized linear model is chosen with the hypothesis that the errors follow a multivariate Student t distribution which is a heavy-tailed distribution. The aim of this study is to investigate and implement the performance of the multivariate t distribution to analyze population pharmacokinetic data. Bayesian predictive inferences and the Metropolis-Hastings algorithm schemes are used to process the intractable posterior integration. The precision and accuracy of the proposed model are illustrated by the simulating data and a real example of theophylline data. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | http://europepmc.org/articles/PMC3592804?pdf=render; https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0058369 |
| URL الوصول: | https://doaj.org/article/172705b02484490780715e25d4446a17 |
| رقم الأكسشن: | edsdoj.172705b02484490780715e25d4446a17 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0058369 |