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2012 Empirical Likelihood Estimation for Population Pharmacokinetic Study Based onGeneralized Linear Model
Fang-rong Yan, Jin-guan Lin, Yuan Huang, Jun-lin Liu, Tao Lu
J. Appl. Math. 2012(none): 1-13 (2012). DOI: 10.1155/2012/250909

Abstract

To obtain efficient estimation of parameters is a major objective in population pharmacokinetic study. In this paper, we propose an empirical likelihood-based method to analyze the population pharmacokinetic data based on the generalized linear model. A nonparametric version of the Wilk's theorem for the limiting distributions of the empirical likelihood ratio is derived. Simulations are conducted to demonstrate the accuracy and efficiency of empirical likelihood method. An application illustrating our methods and supporting the simulation study results is presented. The results suggest that the proposed method is feasible for population pharmacokinetic data.

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Fang-rong Yan. Jin-guan Lin. Yuan Huang. Jun-lin Liu. Tao Lu. "Empirical Likelihood Estimation for Population Pharmacokinetic Study Based onGeneralized Linear Model." J. Appl. Math. 2012 1 - 13, 2012. https://doi.org/10.1155/2012/250909

Information

Published: 2012
First available in Project Euclid: 5 April 2013

zbMATH: 06169870
MathSciNet: MR3005214
Digital Object Identifier: 10.1155/2012/250909

Rights: Copyright © 2012 Hindawi

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