Department of Medical Biochemistry, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Istanbul, Turkey.
Department of Clinical Chemistry and Hematology, Zuyderland Medical Centre, Sittard/Heerlen, The Netherlands.
Biochem Med (Zagreb). 2020 Feb 15;30(1):010101. doi: 10.11613/BM.2020.010101.
Uncertainty is an inseparable part of all types of measurement. Recently, the International Organization for Standardization (ISO) released a new standard (ISO 20914) on how to calculate measurement uncertainty (MU) in laboratory medicine. This standard can be regarded as the beginning of a new era in laboratory medicine. Measurement uncertainty comprises various components and is used to calculate the total uncertainty. All components must be expressed in standard deviation (SD) and then combined. However, the characteristics of these components are not the same; some are expressed as SD, while others are expressed as a ± b, such as the purity of the reagents. All non-SD variables must be transformed into SD, which requires a detailed knowledge of common statistical distributions used in the calculation of MU. Here, the main statistical distributions used in MU calculation are briefly summarized.
不确定性是所有类型测量的固有组成部分。最近，国际标准化组织（ISO）发布了一份关于如何在医学实验室中计算测量不确定度（MU）的新标准（ISO 20914）。该标准可以被视为医学实验室新时代的开始。测量不确定度由多个分量组成，用于计算总不确定度。所有分量都必须用标准差（SD）表示，然后进行组合。然而，这些分量的特性并不相同；有些表示为 SD，有些则表示为 a ± b，例如试剂的纯度。所有非 SD 变量都必须转换为 SD，这需要对 MU 计算中使用的常见统计分布有详细的了解。在这里，简要总结了 MU 计算中使用的主要统计分布。
