Testing Marginal Homogeneity in Matched-Pair Polytomous Data

Zhao Yang, Xuezheng Sun, J. Hardin
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引用次数: 3

Abstract

Statistical tests for assessing marginal homogeneity of matched-pair polytomous data can be classified as a score-type test or a Wald-type test; the Wald-type Bhapkar test is a more powerful alternative to the score-type Stuart–Maxwell test, and the Bhapkar test tends to be liberal. Extending the authors’ earlier work, an additional test of each classification is proposed for testing marginal homogeneity, and the relationships among the available test statistics are established. The results from some limited simulation study suggest that the new proposals are very competitive alternatives to the extant methods. These results are the basis of the authors’ recommendations to practitioners. Information from SAS procedure PROC CATMOD regarding Bhapkar’s test statistic and the relationship among the test statistics make their implementation and calculation convenient and accessible to interested researchers.
匹配对多同构数据的边缘同质性检验
评价配对多聚体数据边际同质性的统计检验可分为得分型检验或wald型检验;瓦尔德型巴普卡测试是比计分型斯图尔特-麦克斯韦尔测试更强大的替代方法,而且巴普卡测试倾向于自由。在作者早期工作的基础上,提出了每个分类的附加检验来检验边际同质性,并建立了可用检验统计量之间的关系。一些有限的模拟研究结果表明,新的建议是非常有竞争力的替代现有的方法。这些结果是作者向从业者推荐的基础。SAS程序PROC CATMOD中关于Bhapkar检验统计量和检验统计量之间关系的信息,使其实现和计算方便,感兴趣的研究人员可以访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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