Ten ironic rules for non-statistical reviewers

被引：286

作者：

Friston, Karl ^{[1
]}

机构：

[1] Inst Neurol, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England

来源：

NEUROIMAGE | 2012年 / 61卷 / 04期

基金：

英国惠康基金;

关键词：

Statistical testing; Sample-size; Effect size; Power; Classical inference; SIZE; GUIDELINES; ACCURACY;

D O I：

10.1016/j.neuroimage.2012.04.018

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

As an expert reviewer, it is sometimes necessary to ensure a paper is rejected. This can sometimes be achieved by highlighting improper statistical practice. This technical note provides guidance on how to critique the statistical analysis of neuroimaging studies to maximise the chance that the paper will be declined. We will review a series of critiques that can be applied universally to any neuroimaging paper and consider responses to potential rebuttals that reviewers might encounter from authors or editors. (C) 2012 Elsevier Inc. All rights reserved.

引用

页码：1300 / 1310

页数：11

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