APPLICATION OF THE MCNEMAR TEST TO NON-INDEPENDENT MATCHED PAIR DATA
APPLICATION OF THE MCNEMAR TEST TO NON-INDEPENDENT MATCHED PAIR DATA
复制标题
DOI：
10.1002/sim.4780101211
复制
发表时间：
1991-12-01
影响因子：
2
通讯作者：
DONNER, A
中科院分区：
文献类型：
--
作者：
ELIASZIW, M;DONNER, A
McNemar的单自由度卡方检验比例相等经常出现在配对的二元结局数据（Y1i，Y2i）的分析中。该测试的一个假设是，配对之间的反应是相互独立的。然而，在某些应用中，这些对可能代表同一实验单元上的重复测量，因此违反了这一假设。在本文中，我们建议调整McNemar检验，以考虑重复测量的聚类效应，我们报告的Monte Carlo模拟，评估这种方法的有效性。
McNemar's one degree of freedom chi-square test for the equality of proportions appears frequently in the analysis of pairs of matched, binary outcome data ( Y1i, Y2i). An assumption underlying this test is that the responses from pair to pair are mutually independent. In certain applications, however, the pairs may represent repeated measurements on the same experimental unit, and hence this assumption is violated. In this paper we suggest an adjustment to the McNemar test to account for the repeated measures clustering effect and we report on a Monte Carlo simulation that evaluates the effectiveness of this approach.