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Estimation of AUC from 0 to Infinity in Serial Sacrifice Designs

机译:串行牺牲设计中AUC从0到无穷大的估计

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Nonclinical in vivo animal studies have to be completed before starting clinical studies of the pharmacokinetic behavior of a drug in humans. The drug exposure in animal studies is often measured by the area under the concentration time curve (AUC). The classical complete data design where each animal is sampled for analysis once per time point is usually only applicable for large animals. In the case of rats and mice, where blood sampling is restricted, the batch design or the serial sacrifice design need to be considered. In batch designs samples are taken more than once from each animal, but not at all time points. In serial sacrifice designs only one sample is taken from each animal. This paper presents an estimator for AUC from 0 to infinity in serial sacrifice designs, the corresponding variance and its asymptotic distribution.
机译:在开始对药物在人体内的药代动力学行为进行临床研究之前,必须完成非临床体内动物研究。动物研究中的药物暴露通常通过浓度时间曲线(AUC)下的面积来衡量。经典的完整数据设计通常只适用于大型动物,在每个时间点对每只动物进行一次采样以进行分析。在大鼠和小鼠的情况下,血液采样受到限制,需要考虑批次设计或系列牺牲设计。在批量设计中,从每只动物中采集样本不止一次,但并非在所有时间点都如此。在连续牺牲设计中,每只动物仅采集一个样品。本文提出了一系列牺牲设计中从0到无穷的AUC的估计量,相应的方差及其渐近分布。

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