Center for Medical Data Science, Medical University of Vienna, Austria.
Stat Methods Med Res. 2024 Sep;33(9):1595-1609. doi: 10.1177/09622802241269624.
The closure principle is a powerful approach to constructing efficient testing procedures controlling the familywise error rate in the strong sense. For small numbers of hypotheses and the setting of independent elementary -values we consider closed tests where each intersection hypothesis is tested with a -value combination test. Examples of such combination tests are the Fisher combination test, the Stouffer test, the Omnibus test, the truncated test, or the Wilson test. Some of these tests, such as the Fisher combination, the Stouffer, or the Omnibus test, are not consonant and rejection of the global null hypothesis does not always lead to rejection of at least one elementary null hypothesis. We develop a general principle to uniformly improve closed tests based on -value combination tests by modifying the rejection regions such that the new procedure becomes consonant. For the Fisher combination test and the Stouffer test, we show by simulations that this improvement can lead to a substantial increase in power.
封闭原则是一种强大的方法,用于构建控制强意义上的总体错误率的有效测试程序。对于少量的假设和独立基本值的设置,我们考虑使用封闭检验,其中每个交集假设都使用 - 值组合检验进行检验。这种组合检验的例子包括 Fisher 组合检验、Stouffer 检验、Omnibus 检验、截断检验或 Wilson 检验。这些检验中的一些,如 Fisher 组合检验、Stouffer 检验或 Omnibus 检验,并不一致,拒绝全局零假设并不总是导致拒绝至少一个基本零假设。我们开发了一种通用的原则,通过修改拒绝区域,使新程序变得一致,从而统一改进基于 - 值组合检验的封闭检验。对于 Fisher 组合检验和 Stouffer 检验,我们通过模拟表明,这种改进可以显著提高功效。