Parvin C A
Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110.
Clin Chem. 1992 Mar;38(3):364-9.
This paper continues an investigation into the merits of an alternative approach to the statistical evaluation of quality-control rules. In this report, computer simulation is used to evaluate and compare quality-control rules designed to detect increases in within-run or between-run imprecision. When out-of-control conditions are evaluated in terms of their impact on total analytical imprecision, the error detection ability of a rule depends on the relative magnitudes of the between-run and within-run error components under stable operating conditions. A recently proposed rule based on the F-test, designed to detect increases in between-run imprecision, is shown to have relatively poor performance characteristics. Additionally, several issues are examined that have been difficult to address with the traditional evaluation approach.
本文继续探讨一种用于质量控制规则统计评估的替代方法的优点。在本报告中，使用计算机模拟来评估和比较旨在检测批内或批间不精密度增加的质量控制规则。当根据失控条件对总分析不精密度的影响来评估时，规则的误差检测能力取决于稳定操作条件下批间和批内误差分量的相对大小。最近提出的一种基于F检验的规则，旨在检测批间不精密度的增加，但其性能特征相对较差。此外，还研究了一些传统评估方法难以解决的问题。
