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Incongruence between test statistics and P values in medical papers

机译:医学论文的检验统计量与P值不一致

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Background Given an observed test statistic and its degrees of freedom, one may compute the observed P value with most statistical packages. It is unknown to what extent test statistics and P values are congruent in published medical papers. Methods We checked the congruence of statistical results reported in all the papers of volumes 409–412 of Nature (2001) and a random sample of 63 results from volumes 322–323 of BMJ (2001). We also tested whether the frequencies of the last digit of a sample of 610 test statistics deviated from a uniform distribution (i.e., equally probable digits). Results 11.6% (21 of 181) and 11.1% (7 of 63) of the statistical results published in Nature and BMJ respectively during 2001 were incongruent, probably mostly due to rounding, transcription, or type-setting errors. At least one such error appeared in 38% and 25% of the papers of Nature and BMJ, respectively. In 12% of the cases, the significance level might change one or more orders of magnitude. The frequencies of the last digit of statistics deviated from the uniform distribution and suggested digit preference in rounding and reporting. Conclusions This incongruence of test statistics and P values is another example that statistical practice is generally poor, even in the most renowned scientific journals, and that quality of papers should be more controlled and valued.
机译:背景技术给定观察到的测试统计量及其自由度,可以使用大多数统计软件包来计算观察到的P值。尚不知道在已发表的医学论文中检验统计量和P值在多大程度上一致。方法我们检查了《自然》(2001年)第409-412卷和BMJ(2001年)第322-323卷中63个结果的随机样本中报告的统计结果的一致性。我们还测试了610个测试统计数据样本的最后一位数字的频率是否偏离了均匀分布(即,概率均等的数字)。结果2001年在《自然》和《英国医学杂志》上发表的统计结果分别有11.6%(181个中的21)和11.1%(63个中的7)不一致,可能主要是由于四舍五入,转录或排版错误。至少有一个这样的错误分别出现在《自然》和BMJ的论文中38%和25%在12%的情况下,显着性水平可能会改变一个或多个数量级。统计数字的最后一位数字的频率与四舍五入和报告中的均匀分布和建议的数字偏好不同。结论测试统计数据和P值的这种不一致是另一个例子,即即使在最著名的科学期刊中,统计实践也普遍较差,论文质量应得到更好的控制和重视。

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