Westgard J O
Crit Rev Clin Lab Sci. 1981;13(4):283-330. doi: 10.3109/10408368109106450.
Achieving precision and accuracy in routine clinical analyses is a complex task, requiring the identification, estimation, and elimination of sources of analytical error. This review first considers concepts of precision and accuracy, including discussions of the meaning of measurement process, analytical method, state of statistical control, precision, imprecision, accuracy, inaccuracy, systematic error, overall or total error, true value, traceability, and compatability. These concepts provide the basis upon which the performance of analytical methods can be evaluated. The second part of the review considers how precision and accuracy are assessed by the use of method evaluation experiments. The approach emphasizes the development of an evaluation protocol based on the analytical characteristics which represent the performance of the method. This includes discussions of the familiarization period; testing analytic range and linearity; testing precision by a replication experiment; testing accuracy by recovery, interference, and comparison of methods experiments; the selection of a comparative analytical method; the statistical analysis of method comparison data, including the interpretation of that data; the collaborative testing.
在常规临床分析中实现精密度和准确性是一项复杂的任务,需要识别、评估和消除分析误差来源。本综述首先考虑精密度和准确性的概念,包括对测量过程、分析方法、统计控制状态、精密度、不精密度、准确性、不准确性、系统误差、总误差或总体误差、真值、可追溯性和兼容性的含义的讨论。这些概念为评估分析方法的性能提供了基础。综述的第二部分考虑如何通过方法评估实验来评估精密度和准确性。该方法强调基于代表方法性能的分析特征制定评估方案。这包括对熟悉期的讨论;测试分析范围和线性;通过重复实验测试精密度;通过回收率、干扰和方法比较实验测试准确性;选择比较分析方法;对方法比较数据进行统计分析,包括对该数据的解释;协作测试。