Parvin C A, Gray D L, Kessler G
Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110.
Clin Chem. 1991 May;37(5):637-42.
A straightforward statistical explanation is provided to show how differences between assay methods can affect the distribution of the multiples of the median (MoM). Evaluation of the impact of assay method differences reveals that the upper tails of the MoM distribution are not affected to the same degree as the lower tails of the distribution. The disparities in MoM distributions due to assay method differences result in various sensitivity/specificity combinations for different assays having the same fixed MoM cutoffs. Disparities do not exist if risks are calculated with use of the distributions for affected and unaffected populations that are based on a center's own assay method. Applying published risk tables, however, can affect the accuracy of the risk estimates. We used maternal serum alpha-fetoprotein as an example of an assay with an established history of reporting results in MoM values; however, the concepts presented apply equally well to any assay for which results are reported in MoMs.
提供了一个直接的统计学解释,以说明检测方法之间的差异如何影响中位数倍数(MoM)的分布。对检测方法差异影响的评估表明,MoM分布的上尾受到的影响程度与分布的下尾不同。由于检测方法差异导致的MoM分布差异,使得具有相同固定MoM临界值的不同检测方法产生了各种不同的灵敏度/特异性组合。如果使用基于中心自身检测方法的受影响和未受影响人群的分布来计算风险,则不存在差异。然而,应用已发表的风险表会影响风险估计的准确性。我们以母血清甲胎蛋白为例,该检测方法在报告结果时采用MoM值已有很长历史;然而,所阐述的概念同样适用于任何以MoM报告结果的检测方法。