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.
journal_name
BMC Med Res Methodoljournal_title
BMC medical research methodologyauthors
Jeng Mdoi
10.1186/1471-2288-6-45subject
Has Abstractpub_date
2006-09-13 00:00:00pages
45issn
1471-2288pii
1471-2288-6-45journal_volume
6pub_type
评论,杂志文章abstract:BACKGROUND:Predicting survival of recipients after liver transplantation is regarded as one of the most important challenges in contemporary medicine. Hence, improving on current prediction models is of great interest.Nowadays, there is a strong discussion in the medical field about machine learning (ML) and whether it...
journal_title:BMC medical research methodology
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journal_title:BMC medical research methodology
pub_type: 杂志文章
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更新日期:2009-11-13 00:00:00
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更新日期:2010-06-14 00:00:00
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更新日期:2015-04-23 00:00:00
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journal_title:BMC medical research methodology
pub_type: 杂志文章,随机对照试验
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更新日期:2006-04-28 00:00:00
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更新日期:2011-02-16 00:00:00
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