Azzimonti Renzo J C
Facultad de Ciencias Exactas, Químicas y Naturales, Universidad Nacional de Misiones, Argentina.
Scand J Clin Lab Invest. 2003;63(3):207-16. doi: 10.1080/00365510310001221.
The main objective of the present report is to show failures in binary cases of the kappa, Yule and phi approaches when used for measuring agreement beyond chance. These methods were designed for studying the statistical concept of agreement, and for this reason they may fail when used in clinical situations. To solve these problems, or paradoxes, a new method for studying agreement is used--the dual vision procedure. The capacity of the new method to solve the paradoxes that other approaches cannot solve is demonstrated. The study of agreement is used to decide whether one clinical method can replace another one. An incorrect replacement could be dangerous for the patient. These failures caused by kappa, Yule or phi assessment are illustrated by using the clinical concept of agreement.
本报告的主要目的是展示kappa、Yule和phi方法在用于测量超出随机水平的一致性时，在二元情况下的失效情况。这些方法是为研究一致性的统计概念而设计的，因此在临床情况下使用时可能会失效。为了解决这些问题或悖论，采用了一种研究一致性的新方法——双视角程序。证明了新方法解决其他方法无法解决的悖论的能力。一致性研究用于决定一种临床方法是否可以替代另一种临床方法。不正确的替代可能对患者有危险。通过使用一致性的临床概念来说明由kappa、Yule或phi评估导致的这些失效情况。
