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Estimation of the uncertainty of analyte concentration from the measurement uncertainty

机译:根据测量不确定度估算分析物浓度的不确定度

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摘要

Ligand-binding assays, such as immunoassays, are usually analysed using standard curves based on the four-parameter and five-parameter logistic models. An estimate of the uncertainty of an analyte concentration obtained from such curves is needed for confidence intervals or precision profiles. Using a numerical simulation approach, it is shown that the uncertainty of the analyte concentration estimate becomes significant at the extremes of the concentration range and that this is affected significantly by the steepness of the standard curve. We also provide expressions for the coefficient of variation of the analyte concentration estimate from which confidence intervals and the precision profile can be obtained. Using three examples, we show that the expressions perform well.
机译:配体结合测定法(例如免疫测定法)通常使用基于四参数和五参数逻辑模型的标准曲线进行分析。对于置信区间或精确度分布图,需要估算从此类曲线获得的分析物浓度的不确定度。使用数值模拟方法表明,分析物浓度估计值的不确定性在浓度范围的极限处变得很显着,并且标准曲线的陡度极大地影响了不确定性。我们还提供了分析物浓度估算值的变异系数表达式,从中可以获得置信区间和精度曲线。通过三个示例,我们证明了表达式的性能良好。

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