有序类别中多评级者之间的关联加协议建模

IF 1.6 Q1 STATISTICS & PROBABILITY
Ayfer Ezgi Yilmaz
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引用次数: 0

摘要

在方形列联表中,分析行和列分类之间的一致性是很有意义的。在这样的表中,类kappa统计数据被用作可靠性的度量。除了kappa系数外,几位作者还讨论了对数线性模型的一致性。建议使用对数线性一致性模型来总结名义变量之间的一致程度。为了分析有序类别之间的一致性,可以使用具有一致性参数的关联模型。在最近的研究中,研究人员更加关注两个以上评分者的决定之间的一致性评估,尤其是在医学和行为科学领域。本文重点研究了具有有序类别的多评分者的一致和非一致关联与评分者间协议的研究方法。在本文中,我们提出了对关联加协议模型的不同修改,并通过两个数值例子说明了这些方法的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Association plus Agreement among Multi-Raters for Ordered Categories
In square contingency tables, analysis of agreement between the row and column classifications is of interest. In such tables, the kappa-like statistics are used as a measure of reliability. In addition to the kappa coefficients, several authors discussed agreement in terms of log-linear models. Log-linear agreement models are suggested for use to summarize the degree of agreement between nominal variables. To analyze the agreement between ordinal categories, the association models with agreement parameter can be used. In the recent studies, researchers pay more attention to the assessment of agreement among more than two raters’ decisions, especially in areas of medical and behavioral sciences. This article focuses on the approaches to study of uniform and non-uniform association with inter-rater agreement for multi-raters with ordered categories. In this article, we proposed different modifications of association plus agreement models and illustrate use of the approaches over two numerical examples.
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
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