Radioimmunoassay data processing with a small programmable calculator.
Radioimmunoassay data processing with a small programmable calculator.
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使用小型可编程计算器处理放射免疫分析数据。
DOI：
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发表时间：
1980
期刊：
影响因子：
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通讯作者：
D. Rodbard
中科院分区：
文献类型：
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作者：
S. E. Davis;P. Munson;M. L. Jaffe;D. Rodbard
我们已经开发了三个用于在小型、廉价、可编程计算器（Texas Instrument Co.，型号59）：1）第一个程序对RIA标准曲线进行加权logit-log回归分析，并提供几个描述性统计量：斜率、截距、ED 50（及其相应的标准误）、残差方差和相关系数。该方案还提供：未知量的剂量插值;每个结果的精密度估计值（变异系数百分比）;可变样品体积或回收率的校正;以及重复分析样品的平均值和平均值的标准误差。2)第二个程序使用“四参数逻辑模型”来描述剂量响应曲线并执行剂量插值。这相当于使用logit-log方法，并提供了对0%和100%响应位置的调整。因此，它比logit-log方法更灵活和通用。3)第三个程序用于常规实验室内质量控制：利用方差分析（ANOVA）和方差估计分量计算试验内和试验间精密度。这些程序结合了本实验室以前为IBM 370或DEC system-10计算机开发的程序的最重要的特点，并证明了在没有大型集中计算机设施的情况下，实验室也能进行充分的统计分析。
We have developed three programs for data processing for radioimmunoassays RIA implemented on a small, inexpensive, programmable calculator (Texas Instrument Co., Model 59): 1) The first program performs a weighted logit-log regression for analysis of the RIA standard curve, and provides several descriptive statistics: slope, intercept, ED50 (and their corresponding standard errors), residual variance, and correlation coefficient. This program also provides: dose interpolation for unknowns; an estimate of the precision (percent coefficient of variation) for each result; corrections for variable sample volumes or recoveries; and the mean and standard error of the mean for samples analyzed in replicate. 2) The second program uses the "four parameter logistic model" to describe the dose responses curve and perform dose interpolation. This is the equivalent to the use of the logit-log method, with provision for adjustment for the position of the 0% and 100% response. As such, it is more flexible and versatile than the logit-log method. 3) A third program is used for routine Within-Lab Quality Control: it calculates within-assay and between-assay precision, utilizing an analysis of variance (ANOVA) with a components of variance estimation. These programs incorporate the most important features of programs previously developed in this laboratory for an IBM 370 or a DECsystem-10 computer, and demonstrate the availability of adequate statistical analyses to laboratories without access to large centralized computer facilities.