Error in statistical tests of error in statistical tests
- PMID: 16970820
- PMCID: PMC1586023
- DOI: 10.1186/1471-2288-6-45
Error in statistical tests of error in statistical tests
Abstract
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.
Comment on
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Incongruence between test statistics and P values in medical papers.BMC Med Res Methodol. 2004 May 28;4:13. doi: 10.1186/1471-2288-4-13. BMC Med Res Methodol. 2004. PMID: 15169550 Free PMC article.
References
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- Abbasi K. Editor's choice: Do mistakes matter? BMJ. 2004;328:0.
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- Sloppy stats shame science. The Economist. p. 74. 5 Jun 2004.
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