We consider the problem of testing for a difference in the probability of success from matched binary pairs. Starting with three standard inexact tests, the nuisance parameter is first estimated and then the residual dependence is eliminated by maximization, producing what I call an E+M P-value. The E+M P-value based on McNemar's statistic is shown numerically to dominate previous suggestions, including partially maximized P-values as described in Berger and Sidik (2003, Statistical Methods in Medical Research 12, 91-108). The latter method, however, may have computational advantages for large samples.
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机译：我们考虑测试匹配的二进制对的成功概率差异的问题。从三个标准的不精确测试开始，首先估计讨厌的参数，然后通过最大化消除残差依赖性，从而产生所谓的E + M P值。数字显示了基于McNemar统计量的E + M P值，以支配先前的建议，包括部分最大化的P值，如Berger和Sidik（2003年，Statistics Methods in Medical Research 12，91-108）所述。但是，后一种方法对于大型样本可能具有计算优势。
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