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Confidence intervals that match Fishers exact or Blakers exact tests

机译:符合Fisher精确检验或Blaker精确检验的置信区间

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摘要

When analyzing a 2 × 2 table, the two-sided Fisher's exact test and the usual exact confidence interval (CI) for the odds ratio may give conflicting inferences; for example, the test rejects but the associated CI contains an odds ratio of 1. The problem is that the usual exact CI is the inversion of the test that rejects if either of the one-sided Fisher's exact tests rejects at half the nominal significance level. Further, the confidence set that is the inversion of the usual two-sided Fisher's exact test may not be an interval, so following , Confidence curves and improved exact confidence intervals for discrete distributions. Canadian Journal of Statistics >28, 783–798), we define the “matching” interval as the smallest interval that contains the confidence set. We explore these 2 versions of Fisher's exact test as well as an exact test suggested by and provide the R package exact2 ×2 which automatically assigns the appropriate matching interval to each of the 3 exact tests.
机译:当分析2×2表时,双面费舍尔精确检验和通常的比值比精确置信区间(CI)可能会得出相互矛盾的推论;例如,测试拒绝,但关联的CI的比值比为1。问题是,通常的精确CI是如果单侧Fisher精确测试中的任何一个拒绝以标称重要度水平的一半进行拒绝的测试的反转。此外,置信度集(不是通常的双面费舍尔精确检验的反演)可能不是一个区间,因此,对于离散分布,遵循,置信度曲线和改进的精确置信区间。 《加拿大统计杂志> 28 ,783-798》中,我们将“匹配”间隔定义为包含置信度集的最小间隔。我们研究了Fisher精确测试的这两个版本以及建议的精确测试,并提供了R包精确2×2,它自动为3个精确测试中的每一个分配适当的匹配间隔。

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