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A more principled use of the p-value? Not so fast: a critique of Colquhoun’s argument

机译:更原则地使用p值?没那么快:对科尔丘恩论点的批评

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摘要

The usefulness of the statistic known as the p-value, as a means of quantifying the strength of evidence for the presence of an effect from empirical data has long been questioned in the statistical community. In recent years, there has been a notable increase in the awareness of both fundamental and practical limitations of the statistic within the target research fields and especially biomedicine. In this article, I analyse the recently published article (Colquhoun 2017 R. Soc. open sci. >4, 171085 ()) which, in summary, argues that with a better understanding and thus more appropriate use of the statistic, many of the aforementioned limitations can be addressed. In particular, I demonstrate that the (often implicit) premises of this counterargument are questionable, in some cases arguably inconsistent, and that therefore the counterargument provides little if any justification for the continued use of the p-value. Additionally, my analysis should help researchers seeking to interpret their empirical data by illustrating the nuanced nature and the multiplicity of statistical, methodological and epistemological issues which must be considered in this process.
机译:在统计界,人们一直质疑称为p值的统计数据作为量化经验数据证据强度的手段的有效性。近年来,在目标研究领域尤其是生物医学领域,人们对统计学的基本和实际局限性的认识有了显着提高。在本文中,我分析了最近发表的文章(Colquhoun 2017 R.Soc.open sci。> 4 ,171085()),总而言之,作者认为对本文有更好的理解,因此更适合使用根据统计,可以解决许多上述限制。特别是,我证明了该反驳的(通常是隐含的)前提是有问题的,在某些情况下可以说是不一致的,因此,反驳为继续使用p值提供的理由很少。此外,我的分析应通过说明在此过程中必须考虑的细微差别和统计,方法论和认识论问题的多样性,来帮助寻求解释其经验数据的研究人员。

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