An open-source software program for performing Bonferroni and related corrections for multiple comparisons.
An open-source software program for performing Bonferroni and related corrections for multiple comparisons.
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DOI：
10.4103/2153-3539.91130
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发表时间：
2011
影响因子：
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通讯作者：
Naugler C
中科院分区：
文献类型：
--
作者：
Lesack K;Naugler C
由多重统计比较导致的I类错误增加仍然是科学文献中的一个常见问题。这可能导致报告和公布虚假的调查结果。解决这个问题的一种方法是使用Bonferroni校正或不太保守的Bonferroni-Holm校正来校正“全家族意义”的P值组，或者使用Benjamini-Hochberg校正来校正“错误发现率”。虽然有几种解决方案可用于通过商业软件执行这种校正，但没有广泛可用的易于使用的开源程序来执行这些计算。在本文中，我们提出了一个用Python 3.2编写的开源程序，该程序可以执行标准Bonferroni，Bonferroni-Holm和Benjamini-Hochberg校正的计算。
Increased type I error resulting from multiple statistical comparisons remains a common problem in the scientific literature. This may result in the reporting and promulgation of spurious findings. One approach to this problem is to correct groups of P-values for “family-wide significance” using a Bonferroni correction or the less conservative Bonferroni-Holm correction or to correct for the “false discovery rate” with a Benjamini-Hochberg correction. Although several solutions are available for performing this correction through commercially available software there are no widely available easy to use open source programs to perform these calculations. In this paper we present an open source program written in Python 3.2 that performs calculations for standard Bonferroni, Bonferroni-Holm and Benjamini-Hochberg corrections.