96 Shirley Rd, Roseville, NSW, Australia.
Discipline of Laboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia.
Adv Clin Chem. 2018;84:125-207. doi: 10.1016/bs.acc.2017.12.004. Epub 2018 Feb 19.
The "Guide to the Expression of Uncertainty in Measurement" (GUM) is the foundational document of metrology. Its recommendations apply to all areas of metrology including metrology associated with the biomedical sciences. When the output of a measurement process depends on the measurement of several inputs through a measurement equation or functional relationship, the propagation of uncertainties in the inputs to the uncertainty in the output demands a level of understanding of the differential calculus. This review is intended as an elementary guide to the differential calculus and its application to uncertainty in measurement. The review is in two parts. In Part I, Section 3, we consider the case of a single input and introduce the concepts of error and uncertainty. Next we discuss, in the following sections in Part I, such notions as derivatives and differentials, and the sensitivity of an output to errors in the input. The derivatives of functions are obtained using very elementary mathematics. The overall purpose of this review, here in Part I and subsequently in Part II, is to present the differential calculus for those in the medical sciences who wish to gain a quick but accurate understanding of the propagation of uncertainties.
《测量不确定度表示指南》(GUM)是计量学的基础文件。其建议适用于计量学的所有领域,包括与生物医学科学相关的计量学。当测量过程的输出取决于通过测量方程或函数关系对几个输入的测量时,输入的不确定度向输出的不确定度的传播需要对微分学有一定的理解。本综述旨在作为微分学及其在测量不确定度中的应用的基本指南。本综述分为两部分。在第一部分第 3 节中,我们考虑单个输入的情况,并引入误差和不确定度的概念。接下来,我们在第一部分的后续部分讨论导数和微分等概念,以及输出对输入误差的敏感性。使用非常基本的数学知识来获取函数的导数。本综述的总体目的,包括这一部分和随后的第二部分,是为希望快速但准确地了解不确定度传播的医学科学领域的人们介绍微分学。