Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisons
Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisons
复制标题
DOI：
10.3102/10769986027001077
复制
发表时间：
2002-03-01
影响因子：
2.4
通讯作者：
Kuang, D
中科院分区：
文献类型：
--
作者：
Thissen, D;Steinberg, L;Kuang, D
威廉姆斯、琼斯和图基（1999）表明，Benjamini和Hochberg（1995）提出的控制多重比较中错误发现率的序贯方法，比广泛使用的限制jamilywise I型错误率的Bonferroni技术产生的功效要大得多。Benjamini-Hochberg（B-H）程序已被用于报告国家教育进步评估（NAEP）的结果以及其他研究应用。这个简短的说明说明了B-H程序是非常简单的实施使用广泛使用的电子表格软件。由于其易于实施，它是可行的，包括B-H程序在推理统计的介绍性教学，增强或取代邦弗罗尼技术。
Williams, Jones, and Tukey (1999) showed that a sequential approach to controlling the false discovery rate in multiple comparisons, due to Benjamini and Hochberg (1995), yields much greater power than the widely used Bonferroni technique that limits the jamilywise Type I error rate. The Benjamini-Hochberg (B-H) procedure has since been adopted for use in reporting results from the National Assessment of Educational Progress (NAEP), as well as in other research applications. This short note illustrates that the B-H procedure is extremely simple to implement using widely available spreadsheet software. Given its easy implementation, it is feasible to include the B-H procedure in introductory instruction in inferential statistics, augmenting or replacing the Bonferroni technique.