Abstract

The results of applying various statistical methods of analysis to the processing of a large array of data obtained using a validated method of gas chromatographic analysis with tandem mass-spectrometric detection are considered. The findings are an integral part of a human steroid profile, and they are used as characteristics in doping control laboratories. The applicability of statistical methods of analysis to detect the degradation of urine samples in the course of storage based on chemometric approaches is considered; the factors that are most influenced during the degradation of urine samples are identified, and the capabilities and limitations of various statistical methods in operations with large data arrays are demonstrated.

中文翻译：

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应用统计数据分析方法测试尿样降解以控制兴奋剂

摘要

考虑了将各种统计分析方法应用于处理使用经验证的气相色谱分析与串联质谱检测方法获得的大量数据的结果。这些发现是人类类固醇概况的一个组成部分，它们被用作兴奋剂控制实验室的特征。考虑了基于化学计量学方法的统计分析方法在检测储存过程中尿液样品降解的适用性；确定了尿液样本降解过程中受影响最大的因素，并展示了各种统计方法在大数据阵列操作中的能力和局限性。