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Does McNemar's test compare the sensitivities and specificities of two diagnostic tests?

机译:McNemar的测试是否比较了两个诊断测试的敏感度和特异性?

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摘要

McNemar's test is often used in practice to compare the sensitivities and specificities for the evaluation of two diagnostic tests. For correct evaluation of accuracy, an intuitive recommendation is to test the diseased and the non-diseased groups separately so that the sensitivities can be compared among the diseased, and specificities can be compared among the healthy group of people. This paper provides a rigorous theoretical framework for this argument and study the validity of McNemar's test regardless of the conditional independence assumption. We derive McNemar's test statistic under the null hypothesis considering both assumptions of conditional independence and conditional dependence. We then perform power analyses to show how the result is affected by the amount of the conditional dependence under alternative hypothesis.
机译:麦克纳玛的测试通常用于实践中,比较敏感性和特异性评估两个诊断测试。 为了正确评估准确性,直观的建议是单独测试患病和非患病组,以便可以在患病中比较敏感性,并且可以在健康的人群中比较特异性。 本文为此论证提供了一个严格的理论框架,并研究了麦克马尔考试的有效性,无论是有条件的独立假设如何。 考虑到有条件独立性和条件依赖的两个假设,我们在零假设下获得McNemar的测试统计。 然后,我们执行权力分析,以展示结果如何受替代假设下的条件依赖量的影响。

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