An implementation of the Expectation-Maximisation (EM) algorithm for population pharmacokinetic-pharmacodynamic modelling in ACSLXTREME

被引：3

作者：

Yates, James W. T. ^{[1
]}

机构：

[1] AstraZeneca, Discovery Drug Metab & Pharmacokinet, Macclesfield SK10 4TG, Cheshire, England

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2009年 / 96卷 / 01期

关键词：

Pharmacokinetics; Pharmacodynamics; Parameter estimation; Optimisation; Compartmental models; MAXIMUM-LIKELIHOOD; PARAMETERS;

D O I：

10.1016/j.cmpb.2009.03.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An implementation of the Expectation-Maximisation (EM) algorithm in ACSLXTREME (AEGIS Technologies) for the analyses of population pharmacokinetic-pharmacodynamic (PKPD) data is demonstrated. The parameter estimation results are compared with those from NONMEM (Globomax) using the first order conditional estimate method. The estimates are comparable and it is concluded that the EM algorithm is a useful technique in population pharmacokinetic-pharmacodynamic modelling. The implementation also demonstrates the ease with which parameter estimation algorithms for population data can be implemented in simulation software packages. (C) 2009 Elsevier Ireland Ltd. All rights reserved.

引用

页码：49 / 62

页数：14

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