论文标题
强大的多种方法比较和转换
Robust multiple method comparison and transformation
论文作者
论文摘要
提出了传递Bablok回归的概括，以同时比较多种测量方法。可能的应用包括测定迁移研究或实验室间试验。当仅比较两种方法时，该方法将减少为通常的传递bablok估计量。精神降低了主要轴回归，但这并不强大。为了获得强大的估计器，主要轴被（超）球形中间轴代替。如果仅比较两种方法，则该方法显示可将其减少到通常的传递bablok估计器。该技术已应用于比较SARS-COV-2血清学测试，新生儿中的胆红素以及使用不同仪器，样品制剂和试剂批量的体外诊断测试。此外，已经开发了类似于众所周知的平淡的altman地块来代表方差结构。
A generalization of Passing-Bablok regression is proposed for comparing multiple measurement methods simultaneously. Possible applications include assay migration studies or interlaboratory trials. When comparing only two methods, the method reduces to the usual Passing-Bablok estimator. It is close in spirit to reduced major axis regression, which is, however, not robust. To obtain a robust estimator, the major axis is replaced by the (hyper-)spherical median axis. The method is shown to reduce to the usual Passing-Bablok estimator if only two methods are compared. This technique has been applied to compare SARS-CoV-2 serological tests, bilirubin in neonates, and an in vitro diagnostic test using different instruments, sample preparations, and reagent lots. In addition, plots similar to the well-known Bland-Altman plots have been developed to represent the variance structure.
