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临床化学分析目标设定背后的统计学原理。

Statistical principles underlying analytic goal-setting in clinical chemistry.

作者信息

Harris E K

出版信息

Am J Clin Pathol. 1979 Aug;72(2 Suppl):374-82.

PMID:474517
Abstract

The Survey programs of the College of American Pathologists (CAP) have assessed current levels of analytic variance in many biochemical measurements, and a number of clinical chemists have proposed analytic goals. The practical importance of further reductions in analytic variance depends on the specific use of the laboratory test. Three general areas of application are described: 1) surveying a population to detect disease, 2) determining whether a particular individual's level of a given analyte is above or below a predefined alarm point, 3) monitoring an individual over a period of time to detect trends. Within each of these different contests, statistical methods are proposed for judging the practical effect of improvements in current levels of analytic precision, taking into account recent estimates of biological variation within the average individual and between individuals. As might be expected, reductions in analytic variance have greatest impact in those applications where biological variance is minimal. Such reductions will generally have little effect on the efficiency of a population survey but may be extremely valuable in decision-making concerning a particular hospital patient.

摘要

美国病理学家学会(CAP)的调查项目评估了许多生化检测中当前的分析变异水平,并且一些临床化学家提出了分析目标。进一步降低分析变异的实际重要性取决于实验室检测的具体用途。描述了三个一般应用领域:1)对人群进行调查以检测疾病,2)确定特定个体的给定分析物水平是高于还是低于预定义的警报点,3)在一段时间内监测个体以检测趋势。在这些不同的情况中,考虑到近期对个体内部和个体之间生物学变异的估计,提出了统计方法来判断当前分析精密度水平提高的实际效果。正如预期的那样,分析变异的降低在生物学变异最小的那些应用中影响最大。这种降低通常对人群调查的效率影响不大,但在针对特定医院患者的决策中可能非常有价值。

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