ABSTRACT

Newer immunoassay platforms offer improved signal-to-noise ratio but are more expensive. Thus, it is more cost efficient to perform these assays at a few selected, rather than a full series of, sample dilutions. We propose a new four-parameter paired response curve to model the relationship between assay outcomes from two sample dilutions and study likelihood-based inference. Given a fitted paired response curve, we can predict assay outcomes for de novo dilutions of samples, which enables cross-protocol comparison of immune response biomarkers even when different protocols use different sample dilutions. Numerical studies on both simulated and real data are presented.

摘要

较新的免疫分析平台提供更高的信噪比，但价格更高。因此，在几个选定的样本稀释而不是全系列的样本稀释下执行这些检测更具成本效益。我们提出了一个新的四参数配对响应曲线来模拟两个样本稀释的测定结果之间的关系，并研究基于可能性的推断。给定拟合的配对响应曲线，我们可以预测样本从头稀释的测定结果，即使在不同的协议使用不同的样本稀释度时，也可以对免疫反应生物标志物进行跨协议比较。对模拟数据和真实数据进行了数值研究。