Slotnick H B, Etzell P
Department of Neuroscience, School of Medicine, University of North Dakota, Grand Forks 58203.
Clin Chem. 1990 May;36(5):748-51.
This study demonstrates an approach to the problem of minimizing false-negative and false-positive laboratory findings. In this approach, we consider the fact that results of laboratory tests are correlated, utilize within-person test results to interpret current results, and minimize the impact of multivariate conservatism by examining test results in small groups. The procedure requires panels of tests to be divided into related subpanels, testing each subpanel independently, and using the Bonferroni inequality to determine whether any of the observed values for a given subpanel is "out-of-range." The procedure is demonstrated, and its limitations are observed and discussed.
本研究展示了一种解决实验室检查结果假阴性和假阳性问题的方法。在这种方法中，我们考虑到实验室检查结果是相关的这一事实，利用个体内部的检查结果来解释当前结果，并通过在小群体中检查检查结果来尽量减少多变量保守性的影响。该程序要求将检查项目分为相关的子项目组，独立测试每个子项目组，并使用邦费罗尼不等式来确定给定子项目组的任何观测值是否“超出范围”。展示了该程序，并观察和讨论了其局限性。
