Martin H F, Gudzinowicz B J, Driscoll J L
Am J Clin Pathol. 1975 Sep;64(3):327-34. doi: 10.1093/ajcp/64.3.327.
Although numerous statistical methods are available, proper definitive technics to deal with the determination of normal values or ranges in clinical chemistry are unresolved and ill-defined. Initially, the ability to the analyst to define a mathematical function that can be used to best fit the random distribution of generated laboratory values still depends on proper grouping of the data. Herein is proposed a method for grouping data, in order to select the proper class interval to be used. Arbitrariness is removed and maximum information about the population being tested can be achieved. The concepts of "regrouping" and "sign reversal" are utilized, and the validity of this technic for constructing the "best" frequency histogram is verified by a general computer algorithm.
尽管有许多统计方法可用，但在临床化学中处理正常值或范围测定的适当明确技术尚未得到解决且定义不明确。最初，分析师定义一个可用于最佳拟合生成的实验室值随机分布的数学函数的能力仍然取决于数据的适当分组。本文提出了一种数据分组方法，以选择要使用的适当组距。消除了随意性，并且可以获得有关被测总体的最大信息。利用了“重新分组”和“符号反转”的概念，并通过通用计算机算法验证了该技术用于构建“最佳”频率直方图的有效性。
