实验室统计学基础。

Vivek Pant, Santosh Pradhan, Keyoor Gautam
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引用次数: 0

摘要

对检查的严格监控和对新方法或新仪器的评价是临床实验室的日常工作。自动分析仪从患者的检查和质量控制过程中积累了大量的数据。如果实验室数据不能产生我们可以扩展到我们感兴趣的人群的信息,那么它就没有意义。在分析工作中,最重要的操作是数据的比较,量化准确性和精密度,并为临床医生和患者的疑问提供有意义的解释。常规实验室工作中所需的大部分信息都可以通过使用简单方便的统计工具获得。本文介绍了实验室统计学的基础知识,这些知识回答了实验室质量控制的应用,我们检查的准确性和诊断能力,报告的可变性,不同方法的比较以及分析物的生物参考区间的推导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Basics of laboratory statistics.

The strict monitoring of examinations and evaluation of newer methods or instruments is a daily routine in clinical laboratory. The automated analyzers accumulate an enormous amount of data from patients' examinations and quality control procedures. This laboratory data is meaningless if it does not generate the information that we can extend to the population of our interest. In an analytical work, the most important operation is the comparison of data, to quantify accuracy and precision and to generate meaningful explanation for clinician and patients queries. Most of the information needed in the regular laboratory work can be obtained with the use of simple convenient statistical tools. This article describes the basics of laboratory statistics, the knowledge of which answers about the application of quality control in laboratory, accuracy and diagnostic power of our examinations, variability in reports, comparison of different methods and derivation of a biological reference interval for an analyte.

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