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Bioassay evaluation assuming multiple unknown parameters applying optimal design

机译:假设多个未知参数的生物测定评估应用最佳设计

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Bioassays can be used to estimate the intake in accidental and routinely situations. To evaluate theeffective dose, apart from the intake, we need to know other parameters such as Activity MedianAerodynamic Diameter (AMAD) or the fraction absorption (f1) in the blood from the GI tract. In anaccident situation these parameters are often unknown. The bioassay measurement values can be used toestimate by fitting the parameters unknown. We have applied non linear regression for solving this kindof problem. Furthermore, a method to find the best moments where the bioassay measurements should betaken is described. This method is applied to optimal designs. The goodness of the design will depend onthe number of samples and the measurement accuracy. It requires obtaining the analytical solution of thebiokinetic model as a function of the parameters to be fitted. Different cases are studied using thecomputer program BIOKMOD (developed by one of the authors.
机译:生物测定法可用于估计意外情况和常规情况下的摄入量。评估 有效剂量,除了摄入量外,我们还需要了解其他参数,例如“活动中位数” 胃肠道血液中的空气动力学直径(AMAD)或吸收率(f1)。在 事故情况下这些参数通常是未知的。生物测定测量值可用于 通过拟合未知参数进行估算。我们已经应用非线性回归来解决这种问题 问题。此外,还有一种方法可以找到应该进行生物测定测量的最佳时刻 描述。该方法适用于最佳设计。设计的优劣取决于 样品数量和测量精度。它需要获得 生物动力学模型作为要拟合参数的函数。使用 计算机程序BIOKMOD(由作者之一开发。

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