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Error in statistical tests of error in statistical tests

机译:统计测试中的错误统计测试中的错误

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Background A recent paper found that terminal digits of statistical values in Nature deviated significantly from an equiprobable distribution, indicating errors or inconsistencies in rounding. This finding, as well as the discovery that a large percentage of p values were inconsistent with reported test statistics, led to a great deal of concern in the popular press and scientific community. The findings ultimately led to new guidelines for all Nature Research Journals. Methods We checked the statistical analysis behind the original paper's tests of equiprobability. Results The original paper tested equiprobability with the Kolmogorov-Smirnov test outside its regime of validity. Correct tests find no statistically significant deviations from equiprobability for the statistical values in Nature. Conclusion Statistical tests should be used correctly.
机译:背景技术最近的一篇论文发现,《自然》杂志中统计值的末尾数字与等概率分布有很大出入,表明四舍五入中存在错误或不一致之处。这一发现以及p值的很大一部分与报告的测试统计数据不一致的发现,引起了大众媒体和科学界的极大关注。这些发现最终为所有《自然研究》期刊制定了新指南。方法我们检查了原始论文的等概率检验背后的统计分析。结果原始论文在其有效性范围外使用Kolmogorov-Smirnov检验测试了等概率。正确的测试未发现与《自然》中统计值的等概率有统计学上的显着差异。结论应该正确使用统计检验。

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