Institut für Biometrie und Klinische Forschung (IBKF) Westfählische Wilhelms-Universität Münster Albert-Schweitzer-Campus, Germany.
Dtsch Arztebl Int. 2011 Jul;108(30):515-21. doi: 10.3238/arztebl.2011.0515. Epub 2011 Jul 29.
In this article, we describe qualitative and quantitative methods for assessing the degree of agreement (concordance) between two measuring or rating techniques. An assessment of concordance is particularly important when a new measuring technique is introduced.
We give an example to illustrate a number of simple methods of comparing different measuring or rating techniques, and we explain the underlying principle of each method. We also give further illustrative examples from medical research papers that were retrieved by a selective literature search.
Methods of comparing different measuring or rating techniques are of two kinds: those with a nominal rating scale and those with a continuous rating scale. We only discuss methods for comparing one measuring or rating technique with another one. Moreover, we point out some common erroneous approaches to concordance analysis.
Concordance analysis is needed to establish the validity of a new diagnostic measuring or rating technique or to demonstrate the near-equivalence of multiple measuring or rating techniques. Erroneous approaches to concordance analysis can lead to false conclusions.
本文介绍了用于评估两种测量或评分技术之间一致性(吻合度)程度的定性和定量方法。当引入新的测量技术时,对一致性的评估尤为重要。
我们给出了一个示例,说明了比较不同测量或评分技术的几种简单方法,并解释了每种方法的基本原理。我们还从通过选择性文献检索检索到的医学研究论文中提供了进一步的说明性示例。
比较不同测量或评分技术的方法有两种:一种是具有名义评分量表的方法,另一种是具有连续评分量表的方法。我们仅讨论了一种测量或评分技术与另一种技术进行比较的方法。此外,我们指出了一致性分析中一些常见的错误方法。
需要进行一致性分析以确定新的诊断测量或评分技术的有效性,或证明多种测量或评分技术的近乎等效性。错误的一致性分析方法可能导致错误的结论。