Sadler W A, Smith M H
Clin Chem. 1985 Nov;31(11):1802-5.
Estimation of the response-error relationship in immunoassay provides a weighting function for the main analysis, and may in general be essential to ensure statistically valid data reduction. In this study we generated 50,000 sets of simulated radioimmunoassay response data with a computer, using five response-error functional forms that are commonly assumed. Parameters were estimated by three least-squares regression methods and three that are modifications of a maximum-likelihood method. Two likelihood estimators that require significantly different computing times were shown to be virtually indistinguishable, statistically more efficient than least-squares estimators, and-in contrast to least-squares estimators-to guarantee positive predicted variances in the range of the data.
免疫分析中反应误差关系的估计为主要分析提供了一个加权函数，并且一般来说对于确保统计上有效的数据简化可能至关重要。在本研究中，我们使用计算机生成了50000组模拟放射免疫分析反应数据，采用了五种通常假定的反应误差函数形式。通过三种最小二乘回归方法以及三种最大似然法的修正方法对参数进行估计。结果表明，两种需要显著不同计算时间的似然估计量在统计上几乎无法区分，比最小二乘估计量在统计上更有效，并且与最小二乘估计量不同的是，它们能保证在数据范围内预测方差为正。
