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To Adjust or Not to Adjust Alpha in Multiple Testing: That is the Question. Guidelines for Alpha Adjustment as Response to O'Keefe's and Matsunaga's Critiques

机译:在多次测试中调整或不调整Alpha:这是问题。 Alpha调整指南,以回应O'Keefe和Matsunaga的批评

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The pro and con arguments for alpha adjustment in multiple testing have been sufficiently reviewed by Matsunaga (this issue), O'Keefe (2003a, 2003b), Hewes (2003), and Tutzauer (2003). Based on these arguments, O'Keefe concludes that alpha adjustment should be generally rejected as long as there is no "principled basis" for it. Matsunaga, however, argues for a better definition of what constitutes a family of null hypotheses and promotes the use of false discovery rate control procedures as an alternative. Since both authors reason differently and some of their conclusions are based on incorrect or incomplete premises, clarification is necessary. This paper tries to resolve this ambiguity by providing guidelines for alpha adjustment and uses these guide-lines for a review of Matsunaga's and O'Keefe's notion of the alpha adjustment problem.
机译:Matsunaga(本期),O'Keefe(2003a,2003b),Hewes(2003)和Tutzauer(2003)已充分审查了多次测试中alpha调整的优缺点。基于这些论点,O'Keefe得出结论,只要没有“原则性基础”,一般应拒绝alpha调整。然而,松永(Matsunaga)主张对构成虚假假设家族的一个更好的定义,并提倡使用错误发现率控制程序作为替代方法。由于两位作者的推理不同,并且他们的某些结论基于不正确或不完整的前提,因此有必要进行澄清。本文试图通过提供alpha调整准则来解决这种歧义,并使用这些准则来回顾Matsunaga和O'Keefe的alpha调整问题。

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