Abstract：
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 boils down 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. 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.
摘要：
提出了Passing-Bablok回归的推广，用于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。当只比较两种方法时，该方法归结为通常的Passing-Bablok估计器。它在精神上接近于减少的主轴回归，也就是说，然而,不健壮。为了获得鲁棒的估计器，长轴由(超)球面中轴代替。该技术已用于比较SARS-CoV-2血清学测试，新生儿胆红素，和使用不同仪器的体外诊断测试，样品制备,和试剂很多。此外,已开发出与著名的Bland-Altman地块相似的地块来表示方差结构。
