MEASUREMENT OF OBSERVER AGREEMENT FOR CATEGORICAL DATA
MEASUREMENT OF OBSERVER AGREEMENT FOR CATEGORICAL DATA
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DOI：
10.2307/2529310
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发表时间：
1977-01-01
期刊：
影响因子：
1.9
通讯作者：
KOCH, GG
中科院分区：
文献类型：
--
作者：
LANDIS, JR;KOCH, GG
提出了一种通用的统计方法，用于分析由观察者可靠性研究产生的多变量分类数据。该过程主要包括构建观测比例的函数，这些函数针对观察者之间的一致程度，以及构建涉及这些函数的假设的检验统计量。以一阶边际同质性的形式给出了观察者间偏差的检验，并将观察者间一致性的度量发展为广义的kappa型统计量。这些方法通过流行病学文献中的一个临床诊断实例进行了说明。
A general statistical methodology is presented for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of 1st-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature.