Yamaoka K, Tanaka H, Okumura K, Yasuhara M, Hori R
J Pharmacobiodyn. 1986 Feb;9(2):161-73.
An analysis program MULTI(ELS) was developed for population pharmacokinetics on a microcomputer. The program based on the extended least squares (ELS) is written in the Microsoft minimum BASIC command alone. ELS simultaneously estimates not only the population pharmacokinetic parameters but also the variances of inter-individual variabilities around the population parameters and of intra-individual variabilities for the plural time courses, whereas the ordinary least squares estimates the pharmacokinetic parameters of each time course. Two least squares algorithms (i.e. quasi-Newton and simplex methods) are provided in MULTI(ELS). MULTI(ELS) was compared with NONMEM (Version I, Level 3) developed by Sheiner and Beal for several time course data. It was shown that MULTI(ELS) gave the same results as NONMEM. MULTI(ELS) calculates the Akaike's information criterion (AIC) for the extended least squares. It was also shown that the AIC is effective in comparing the population characteristics of time courses in a group with those in another group and in verifying the model structures of population means, inter-individual variations and intra-individual variations.
开发了一个用于在微型计算机上进行群体药代动力学分析的程序MULTI(ELS)。该程序基于扩展最小二乘法(ELS),仅用微软最小BASIC命令编写。ELS不仅能同时估计群体药代动力学参数,还能估计群体参数周围个体间变异性的方差以及多个时间进程中个体内变异性的方差,而普通最小二乘法只能估计每个时间进程的药代动力学参数。MULTI(ELS)提供了两种最小二乘算法(即拟牛顿法和单纯形法)。将MULTI(ELS)与Sheiner和Beal开发的NONMEM(版本I,第3级)针对多个时间进程数据进行了比较。结果表明,MULTI(ELS)与NONMEM给出了相同的结果。MULTI(ELS)计算扩展最小二乘法的赤池信息准则(AIC)。还表明,AIC在比较一组时间进程的群体特征与另一组的群体特征以及验证群体均值、个体间变异和个体内变异的模型结构方面是有效的。