Wilson D W, Richards G, Nicholson R I, Griffiths K
Br J Cancer. 1984 Oct;50(4):493-9. doi: 10.1038/bjc.1984.206.
Misclassification of the oestrogen status of a human breast tumour cytosol, arising from different sources and magnitudes of error in the dextran-coated charcoal (DCC) method, have been investigated using both practical and computer simulated data analysed by Scatchard and Mass Action models. The minimum detectable receptor site concentration, relative or absolute numerical bias and imprecision which are complex and integral functions of misclassification, have been calculated from practical data and for a range of experimental conditions likely to be encountered in practice. The Mass Action model was found to be superior and the computer program, designed to investigate the effects of methodological errors on quantitative aspects of the assay, may be a useful aid for analytical design and internal quality control of the receptor assay.
利用斯查查德（Scatchard）模型和质量作用模型分析的实际数据与计算机模拟数据，研究了葡聚糖包被活性炭（DCC）法中不同来源和误差大小导致的人乳腺肿瘤细胞溶质雌激素状态的错误分类。根据实际数据以及一系列实际中可能遇到的实验条件，计算了最小可检测受体位点浓度、相对或绝对数值偏差以及不精确性，这些都是错误分类的复杂综合函数。结果发现质量作用模型更优，旨在研究方法误差对分析定量方面影响的计算机程序，可能对受体分析的分析设计和内部质量控制有帮助。
