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The generality and flexibility of the computer package NONMEM also confront the user with the difficult task of choosing the model which best describes the data at hand. With two practical examples we show how one may proceed in building the population model for serum concentration measurements. Features of NONMEM are presented which help the user to make the choice among different models.
计算机程序包NONMEM的通用性和灵活性也让用户面临一项艰巨任务,即选择最能描述手头数据的模型。通过两个实际例子,我们展示了如何构建用于血清浓度测量的群体模型。还介绍了NONMEM的一些特性,这些特性有助于用户在不同模型之间做出选择。