Recommended tests for association in 2×2 tables
Recommended tests for association in 2×2 tables
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2×2 表中关联的推荐测试
作者：
S. Lydersen;Morten Wang Fagerland;P. Laake
渐近皮尔逊卡方检验和费雪精确检验长期以来一直是2×2表中检验关联的最常用方法。无条件检验保留显著性水平，通常比中等到小样本的Fisher精确检验更强大，但以前由于计算要求高而处于不利地位。这个缺点现在已经没有意义了，因为促进无条件测试的软件已经可用多年了。此外，Fisher的精确检验与中p调整的结果与无条件检验的结果大致相同。因此，有几个更好的测试是可用的，测试的选择应该只取决于它对所涉及的应用程序的优点。应该比现在更多地使用无条件测试和中p方法。传统的费雪精确检验实际上不应该被使用。版权所有©2009 John Wiley & Sons， Ltd
The asymptotic Pearson's chi‐squared test and Fisher's exact test have long been the most used for testing association in 2×2 tables. Unconditional tests preserve the significance level and generally are more powerful than Fisher's exact test for moderate to small samples, but previously were disadvantaged by being computationally demanding. This disadvantage is now moot, as software to facilitate unconditional tests has been available for years. Moreover, Fisher's exact test with mid‐p adjustment gives about the same results as an unconditional test. Consequently, several better tests are available, and the choice of a test should depend only on its merits for the application involved. Unconditional tests and the mid‐p approach ought to be used more than they now are. The traditional Fisher's exact test should practically never be used. Copyright © 2009 John Wiley & Sons, Ltd.