文章基本信息

标题：Extended Quasi-Likelihood Is Useful for Analyzing Intra-Individual Variability in Pharmacokinetic Regression Models
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作者：Takashi AMISAKI
期刊名称：Biological and Pharmaceutical Bulletin
印刷版ISSN：0918-6158
电子版ISSN：1347-5215
出版年度：1999
卷号：22
期号：2
页码：207-209
DOI：10.1248/bpb.22.207
出版社：The Pharmaceutical Society of Japan
摘要：The method of maximum extended quasi-likelihood (MEQL) can be viewed as an estimation method in the framework of generalized linear models. The method was applied to a pharmacokinetic problem in which the pharmacokinetic model was a nonlinear function of its parameters. The behavior of the method toward the estimation of a variance function was numerically compared with those of the generalized least squares (GLS) and extended least squares methods. In general, the MEQL and GLS methods were equally better. However, the MEQL estimator often showed smaller mean squared errors for the scaling parameter than the other two estimators. Such a generally comparable but partially distinct property of the MEQL method, as compared with the GLS method, is useful to pharmacokinetic analysis.
关键词：quasi-likelihood;pseudo-likelihood;extended least squares;generalized least squares;nonlinear regression