APPLICATION OF HIERARCHICAL KAPPA-TYPE STATISTICS IN ASSESSMENT OF MAJORITY AGREEMENT AMONG MULTIPLE OBSERVERS
APPLICATION OF HIERARCHICAL KAPPA-TYPE STATISTICS IN ASSESSMENT OF MAJORITY AGREEMENT AMONG MULTIPLE OBSERVERS
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DOI：
10.2307/2529786
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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
本文提出了一种分析多变量分类数据的一般统计方法，该方法涉及两个以上观察者的一致性。由于这些情况会产生非常大的列联表，其中大多数观察到的细胞频率为0，基于个体受试者原始数据的指标变量的程序用于从概念多维列联表生成一阶边际和主对角线和。从这些数量产生的估计，以反映对每个主题的内部多数决定的力量。一个子集的观察者谁表现出高水平的观察者间的协议，可以通过使用成对的协议统计之间的每个观察者和内部多数标准的意见，对每个主题。这些程序都说明的背景下，涉及7病理学家的临床诊断的例子。
A general statistical methodology for the analysis of multivariate categorical data involving agreement among more than 2 observers is presented. Since these situations give rise to very large contingency tables in which most of the observed cell frequencies are 0, procedures based on indicator variables of the raw data for individual subjects are used to generate 1st-order margins and main diagonal sums from the conceptual multidimensional contingency table. From these quantities estimates are generated to reflect the strength of an internal majority decision on each subject. A subset of observers who demonstrate a high level of interobserver agreement can be identified by using pairwise agreement statistics between each observer and the internal majority standard opinion on each subject. These procedures are all illustrated within the context of a clinical diagnosis example involving 7 pathologists.