首页> 外文期刊>Journal of pharmacokinetics and biopharmaceutics >Assumption testing in population pharmacokinetic models: illustrated with an analysis of moxonidine data from congestive heart failure patients.
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Assumption testing in population pharmacokinetic models: illustrated with an analysis of moxonidine data from congestive heart failure patients.

机译:人群药代动力学模型中的假设测试:通过分析充血性心力衰竭患者的莫索尼定数据进行说明。

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摘要

Deriving a population pharmacokinetic model from real data is always associated with numerous assumptions. Violations of these assumptions, especially if undetected, may lead to inappropriate conclusions being made from the analysis. Routinely, only a few of the assumptions are explicitly stated and justified in the reporting of a population model. Here, we attempt to be exhaustive in the presentation of the assumptions made in the course of an analysis of moxonidine pharmacokinetics. The different ways that assumptions were justified, through experience, graphical examination, or additional modeling, are outlined. Models for relaxing assumptions regarding the covariate and statistical submodels, not previously reported in the area of population pharmacokinetic modeling, are also described.
机译:从真实数据推导总体药代动力学模型总是与许多假设相关联。违反这些假设,特别是如果未被发现,可能会导致分析得出不适当的结论。通常,在人口模型的报告中仅明确陈述了一些假设并进行了论证。在此,我们尝试详尽地介绍在分析莫索尼定药代动力学过程中所做的假设。概述了通过经验,图形检查或其他建模对假设进行辩护的不同方式。还描述了用于放松关于协变量和统计子模型的假设的模型,该模型先前尚未在人群药代动力学建模领域报告。

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