• J Biopharm Stat · Jan 2016

    On two-sample McNemar test.

    • Jim X Xiang.
    • a Department of Biostatistics , Janssen Research and Development , Raritan , New Jersey , USA.
    • J Biopharm Stat. 2016 Jan 1; 26 (2): 217-26.

    AbstractMeasuring a change in the existence of disease symptoms before and after a treatment is examined for statistical significance by means of the McNemar test. When comparing two treatments, Feuer and Kessler (1989) proposed a two-sample McNemar test. In this article, we show that this test usually inflates the type I error in the hypothesis testing, and propose a new two-sample McNemar test that is superior in terms of preserving type I error. We also make the connection between the two-sample McNemar test and the test statistic for the equal residual effects in a 2 × 2 crossover design. The limitations of the two-sample McNemar test are also discussed.

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