Bayesian inference for generalized linear mixed model based on the multivariate t distribution in population pharmacokinetic study.
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ABSTRACT:
SUBMITTER: Yan FR
PROVIDER: S-EPMC3592804 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Publications
Bayesian inference for generalized linear mixed model based on the multivariate t distribution in population pharmacokinetic study.
Yan Fang-Rong FR Huang Yuan Y Liu Jun-Lin JL Lu Tao T Lin Jin-Guan JG
PloS one 20130308 3
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 popu ...[more]
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