CALIBRATION AND ASSAY DEVELOPMENT USING THE 4-PARAMETER LOGISTIC MODEL
CALIBRATION AND ASSAY DEVELOPMENT USING THE 4-PARAMETER LOGISTIC MODEL
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DOI：
10.1016/0169-7439(93)80008-6
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发表时间：
1993-09-01
影响因子：
3.9
通讯作者：
HAALAND, PD
中科院分区：
文献类型：
--
作者：
OCONNELL, MA;BELANGER, BA;HAALAND, PD
使用四参数逻辑模型的校准和测定开发的放射免疫测定（RIA）和酶联免疫吸附测定（ELISA）的例子进行说明和说明。测定性能的措施，包括最低检测浓度（MDC），可靠的检测限（RDL），定量限（LOQ），精密度曲线和模型拟合优度，定义和讨论。还介绍了工作化学家的测定质量控制（QC）程序。考虑校准模型响应的恒定和非恒定变异性。通过广义最小二乘/方差函数估计（GLS/VFE）的响应误差关系（RER）的估计和评估。方差函数的选择被证明是重要的，在构建预测限和计算的测定性能，如MDC，RDL和精密度曲线的措施。用于四参数逻辑拟合、RER估计以及检测试剂盒性能和校准计算的S-PLUS函数已发布到statlib *。
Calibration and assay development using the four-parameter logistic model are described and illustrated with examples from radioimmunoassay (RIA) and enzyme linked immunosorbent assay (ELISA). Measures of assay performance including the minimum detectable concentration (MDC), the reliable detection limit (RDL), the limit of quantitation (LOQ), the precision profile and model goodness of fit, are defined and discussed. Assay quality control (QC) procedures for the working chemist are also presented. Both constant and non-constant variability in the calibration model response are considered. Estimation and evaluation of the response-error relationship (RER) is approached via generalized least squares/variance function estimation (GLS/VFE). The choice of variance function is shown to be important in constructing prediction limits and calculating measures of assay performance such as the MDC, RDL and precision profile. S-PLUS functions for four-parameter logistic fitting, RER estimation, and assay performance and calibration calculations have been posted to statlib *.