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群体药代动力学的平滑非参数最大似然估计及其在奎尼丁中的应用

Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine.

作者信息

Davidian M, Gallant A R

机构信息

Department of Statistics, North Carolina State University, Raleigh 27695-8203.

出版信息

J Pharmacokinet Biopharm. 1992 Oct;20(5):529-56. doi: 10.1007/BF01061470.

Abstract

The seminonparametric (SNP) method, popular in the econometrics literature, is proposed for use in population pharmacokinetic analysis. For data that can be described by the nonlinear mixed effects model, the method produces smooth nonparametric estimates of the entire random effects density and simultaneous estimates of fixed effects by maximum likelihood. A graphical model-building strategy based on the SNP method is described. The methods are illustrated by a population analysis of plasma levels in 136 patients undergoing oral quinidine therapy.

摘要

计量经济学文献中常用的半非参数(SNP)方法被提出用于群体药代动力学分析。对于可用非线性混合效应模型描述的数据,该方法可生成整个随机效应密度的平滑非参数估计值,并通过最大似然法同时估计固定效应。描述了一种基于SNP方法的图形化模型构建策略。通过对136例接受口服奎尼丁治疗患者的血浆水平进行群体分析,对这些方法进行了说明。

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