方表的边际齐性检验强调匹配的数据

M.A.A. Moussa
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引用次数: 2

摘要

采用基于最小修正χ2方法的非迭代方法对方表中一维边缘的均匀性模型进行检验。这样的表可能由具有k个结果的匹配对产生。双二分类的特殊情况(即有两个结果的配对)减少到McNemar检验统计量。还处理了多个匹配控件的情况。除了测试比例趋势外,科克伦Q检验还用于测试比较m个不同匹配样本的情况下的边际均匀性。参考了这些检验之间的等价性和层次对数线性模型检验方表边际齐性的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing marginal homogeneity in square tables; with emphasis on matched data

A noniterative procedure based upon the minimum modified χ2 approach is employed to test the model of homogeneity of one-dimensional margins in square tables. Such tables may arise from matched pairs with k outcomes. The special case of double dichotomy (i.e. matched pairs with two outcomes) reduces to the McNemar test statistic. The case of multiple matched controls is also dealt with. The Cochran's Q test is used to test the marginal homogeneity in cases comparing m distinct matched samples in addition to testing trends in proportions. Reference is made to the equivalence between these tests and the approach of hierarchical log-linear models for testing marginal homogeneity of square tables.

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