神经影像学中的交叉验证与假设检验：对弗里斯顿与林德奎斯特等人之间交流的平和评论
Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al.
作者信息
Reiss Philip T
机构信息
Department of Child and Adolescent Psychiatry and Department of Population Health, New York University School of Medicine, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
出版信息
Neuroimage. 2015 Aug 1;116:248-54. doi: 10.1016/j.neuroimage.2015.04.032. Epub 2015 Apr 25.
The "ten ironic rules for statistical reviewers" presented by Friston (2012) prompted a rebuttal by Lindquist et al. (2013), which was followed by a rejoinder by Friston (2013). A key issue left unresolved in this discussion is the use of cross-validation to test the significance of predictive analyses. This note discusses the role that cross-validation-based and related hypothesis tests have come to play in modern data analyses, in neuroimaging and other fields. It is shown that such tests need not be suboptimal and can fill otherwise-unmet inferential needs.
弗里斯顿（2012年）提出的“统计评审的十条讽刺规则”引发了林德奎斯特等人（2013年）的反驳，随后弗里斯顿（2013年）进行了回应。在这场讨论中一个未解决的关键问题是使用交叉验证来检验预测分析的显著性。本笔记讨论了基于交叉验证及相关假设检验在现代数据分析、神经成像和其他领域中所起的作用。结果表明，此类检验未必是次优的，并且可以满足其他未得到满足的推理需求。
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