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通过数值算法和多元线性回归进行动力学参数估计:在药代动力学中的应用。

Kinetic parameter estimation by numerical algorithms and multiple linear regression: application to pharmacokinetics.

作者信息

Yeh K C, Kwan K C

出版信息

J Pharm Sci. 1979 Sep;68(9):1120-4. doi: 10.1002/jps.2600680916.

Abstract

Two numerical examples are presented to illustrate the application of the proposed method of parameter estimation in pharmacokinetics. Results for a system exemplifying first-order kinetics indicate that parameters estimated by the proposed procedure compare favorably with those estimated by a nonlinear regression method. In a simulated example characterized by Michaelis-Menten elimination kinetics, the accuracy of the estimated parameters was comparable to that expected, verifying the validity of the method. The importance of the numerical approximation algorithms was demonstrated also.

摘要

给出了两个数值例子来说明所提出的药代动力学参数估计方法的应用。一个以一级动力学为例的系统的结果表明,用所提出的程序估计的参数与用非线性回归方法估计的参数相比具有优势。在一个以米氏消除动力学为特征的模拟例子中,估计参数的准确性与预期相当,验证了该方法的有效性。数值近似算法的重要性也得到了证明。

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Kinetic parameter estimation by numerical algorithms and multiple linear regression: theoretical.
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