Dechert J, Case K E
School of Industrial Engineering, University of Oklahoma, Norman 73019, USA.
Clin Chem. 1998 Sep;44(9):1959-63.
When monitoring analyzer performance in the clinical setting, laboratories are required to test multiple concentrations of control material on a daily basis. Because of the nature of laboratory testing, there is the potential for correlation between the concentrations of control material being monitored. Although traditional clinical quality-control approaches make an underlying assumption of independence with respect to the control concentrations, this will not always be the case. The presence of correlation in some circumstances suggests the use of a new approach for evaluating clinical laboratory monitoring data: the multivariate control chart. Such a chart (the chi2 chart) is evaluated and compared with traditional quality-control approaches used in the laboratory setting. Results indicate that the multivariate approach provides an attractive alternative to many traditional methods of quality assurance when control concentrations are correlated.
在临床环境中监测分析仪性能时，实验室需要每天对多种浓度的质控品进行检测。由于实验室检测的性质，所监测的质控品浓度之间存在相关性。尽管传统的临床质量控制方法对质控浓度做出了独立性的潜在假设，但情况并非总是如此。在某些情况下相关性的存在表明需要采用一种新的方法来评估临床实验室监测数据：多变量控制图。对这样一种图表（卡方图）进行了评估，并与实验室环境中使用的传统质量控制方法进行了比较。结果表明，当质控浓度相关时，多变量方法为许多传统质量保证方法提供了有吸引力的替代方案。
