In radioimmunoassay and immunoradiometric assay, potency estimation involves the relation between counts of radioactivity and dose. Many workers have found the regression function to be satisfactorily represented by a logistic curve with limits that are themselves unknown parameters. This paper discusses estimation of all the parameters under the supposition (supported by empirical evidence) that the variance of a count is proportional to UJ, where U is the mean count at a dose and J is a parameter that almost certainly lies between 1.0 and 2.0. Estimation is found to be very robust, both in respect of the value taken for J and over alternative forms of least squares and maximum likelihood procedures. Special attention is given to whether the assay uses one or more doses of each test preparation, the former having important limitations but permitting some simplification of formulae. Requirements for a comprehensive computer program, suitable for routine use by assayists lacking statistical expertise and designed to produce potency estimates for a series of test preparations in one assay, are described. Data from an assay of oestradiol are used to illustrate various points.
在放射免疫分析和免疫放射分析中,效价估计涉及放射性计数与剂量之间的关系。许多研究人员发现,回归函数可以用一条逻辑曲线令人满意地表示,其极限本身就是未知参数。本文在这样一种假设(有经验证据支持)下讨论所有参数的估计,即计数的方差与UJ成正比,其中U是某一剂量下的平均计数,J是一个几乎肯定介于1.0和2.0之间的参数。结果发现,估计在J所取的值方面以及在最小二乘法和最大似然法的替代形式方面都非常稳健。特别关注了分析是使用每种测试制剂的一个还是多个剂量,前者有重要局限性,但能使公式有所简化。描述了一个综合计算机程序的要求,该程序适合缺乏统计专业知识的分析人员日常使用,旨在为一次分析中的一系列测试制剂生成效价估计。用雌二醇分析的数据来说明各个要点。