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两份精神病学杂志中报告的检验统计量与p值之间的不一致性。

Inconsistencies between reported test statistics and p-values in two psychiatry journals.

作者信息

Berle David, Starcevic Vladan

机构信息

Nepean Anxiety Disorders Clinic, Sydney West Area Health Service, Penrith, NSW, Australia.

出版信息

Int J Methods Psychiatr Res. 2007;16(4):202-7. doi: 10.1002/mpr.225.

Abstract

A recent survey of the British Medical Journal (BMJ) and Nature revealed that inconsistencies in reported statistics were common. We sought to replicate that survey in the psychiatry literature. We checked the consistency of reported t-test, F-test and chi(2)-test values with their corresponding p-values in the 2005 issues of the Australian and New Zealand Journal of Psychiatry (ANZJP) and compared this with the issues of the ANZJP from 2000, and with a similar journal, Acta Psychiatrica Scandinavica (APS). A reported p-value was 'inconsistent' if it differed (at its reported number of decimal places) from our calculated p-values (using three different software packages), which we based on the reported test statistic and degrees of freedom. Of the 546 results that we checked, 78 (14.3%) of the p-values were inconsistent with the corresponding degrees of freedom and test statistic. Similar rates of inconsistency were found in APS and ANZJP, and when comparing the ANZJP between 2000 and 2005. The percentages of articles with at least one inconsistency were 8.5% for ANZJP 2005, 9.9% for ANZJP 2000 and 12.1% for APS. We conclude that inconsistencies in p-values are common and may reflect errors of analysis and rounding, typographic errors or typesetting errors. Suggestions for reducing the occurrence of such inconsistencies are provided.

摘要

《英国医学杂志》(BMJ)和《自然》杂志最近的一项调查显示,报告的统计数据不一致情况很常见。我们试图在精神病学文献中重复这项调查。我们检查了《澳大利亚和新西兰精神病学杂志》(ANZJP)2005年各期报告的t检验、F检验和卡方检验值与其相应p值的一致性,并将其与2000年的ANZJP各期以及类似期刊《斯堪的纳维亚精神病学学报》(APS)进行比较。如果报告的p值(在其报告的小数位数上)与我们根据报告的检验统计量和自由度计算出的p值(使用三个不同的软件包)不同,则该报告的p值为“不一致”。在我们检查的546个结果中,78个(14.3%)p值与相应的自由度和检验统计量不一致。在APS和ANZJP中以及比较2000年至2005年的ANZJP时,发现了类似的不一致率。2005年ANZJP至少有一处不一致的文章百分比为8.5%,2000年ANZJP为9.9%,APS为12.1%。我们得出结论,p值不一致情况很常见,可能反映了分析和舍入误差、排版错误或排版失误。本文提供了减少此类不一致情况发生的建议。

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