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On page 518, under simulation, I have described %CV added to Ka, volume and half-life. Concentration vs. time data were generated on Stella. Stella generates C vs. t data by changing PK parameters for individual subject (within the range of given %CV). In other words, each subject will have its own Ka, volume and half-life as seen in real-life situation. Once C vs. t data are generated in this way (where each subject has different pharmacokinetic parameters) it is not necessary (although it is commonly done) to add random error to the data. Therefore, both Tables 2 and 3 are realistic and meaningful. Addition of random errors to a data set generated by the addition of %CV on PK parameters may substantially increase the variability in the data which may not be realistic and true representative of real data. #
机译:在第518页的模拟下,我描述了添加到Ka中的%CV,体积和半衰期。在Stella上生成浓度与时间的数据。 Stella通过更改单个受试者的PK参数(在给定的%CV范围内)来生成C vs. t数据。换句话说,每个对象都有自己的Ka,体积和半衰期,如在现实生活中所见。一旦以这种方式生成C vs. t数据(每个受试者的药代动力学参数不同),就没有必要(尽管通常这样做)向数据添加随机误差。因此,表2和表3都是现实和有意义的。通过在PK参数上添加%CV来将随机错误添加到数据集可能会大大增加数据的可变性,这可能不是真实代表真实数据的真实性。 #

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