Pegg P J, Miner E M
Am J Clin Pathol. 1982 Mar;77(3):334-7. doi: 10.1093/ajcp/77.3.334.
The author studied the effects of different data reduction technics on proficiency survey results for radioligand assays. CAP Basic Ligand Assay Survey participants were sent raw count data on a serum folate assay and asked to compute the results for five "unknowns" using their usual method. Analysis of 860 responses showed at least fifteen different data processing methods were used, although 61% of these were some form of a logit transformation. Respondents were divided almost equally between users of computer and manual technics. The coefficient of variation (CV) of the data reduction method at a folate level of 4.5 ng/ml varied from 1% for a spline function (8 participants) to 13% for a manual reciprocal plot (9 participants). Computed weighted logit-log methods (313 participants) gave a 10% CV. Analysis of results for a survey sample by kit and data reduction method showed that the standard deviation (SD) of the calculation was a major contributor to the total interlaboratory SD.
作者研究了不同数据简化技术对放射性配体分析能力验证调查结果的影响。临床实验室改进修正案(CAP)基础配体分析调查的参与者收到了一份血清叶酸分析的原始计数数据,并被要求使用他们常用的方法计算五个“未知样本”的结果。对860份回复的分析表明,至少使用了15种不同的数据处理方法,尽管其中61%是某种形式的对数几率转换。计算机技术使用者和手工技术使用者的受访者数量几乎相等。叶酸水平为4.5 ng/ml时,数据简化方法的变异系数(CV)从样条函数法(8名参与者)的1%到手工倒数图法(9名参与者)的13%不等。计算加权对数几率-对数法(313名参与者)的变异系数为10%。按试剂盒和数据简化方法对调查样本结果进行分析表明,计算的标准差(SD)是实验室间总标准差的主要贡献因素。