APPLICATION OF THE MCNEMAR TEST TO NON-INDEPENDENT MATCHED PAIR DATA

被引：115

作者：

ELIASZIW, M

DONNER, A

机构：

[1] Channing Laboratory, Harvard Medical School, Boston, Massachusetts, 02115

[2] Department of Epidemiology and Biostatistics, The University of Western Ontario, London, Ontario

[3] Clinical Trials Resources Group, John P. Robarts Research Institute, London, Ontario, N6A 5K8, P.O. Box 5015

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 12期

关键词：

D O I：

10.1002/sim.4780101211

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1981 / 1991

页数：11

共 13 条

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