2002
DOI: 10.3102/10769986027001077
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Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons

Abstract: 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 familywise 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 th… Show more

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Cited by 772 publications
(592 citation statements)
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“…Finally, The Benjamini-Hochberg procedure (Thissen, Steinberg, & Kuang, 2002) was used to correct for multiple testing in all analyses.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, The Benjamini-Hochberg procedure (Thissen, Steinberg, & Kuang, 2002) was used to correct for multiple testing in all analyses.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, The Benjamini-Hochberg procedure (Thissen, Steinberg, & Kuang, 2002) was used to correct for multiple testing in all analyses. First, to establish whether the boys in this sample demonstrated significant individual differences in change in pubertal development (pubertal status and tempo), a linear LGCM was conducted with pubertal scores from ages 11-13, and centered at 11 years.…”
Section: Resultsmentioning
confidence: 99%
“…To avoid the declaration of false positive parameters (correlations and F values of GLM), given the large number of contrasts analysed, the Benjamini-Hochberg procedure (Benjamini and Hochberg, 1995) was carried out to correct the corresponding p values (with a false discovery rate of 5%). This methodology is an efficient way of controlling the false discovery rate in multiple testing, as it is more powerful than the classical Bonferroni correction (Thissen et al, 2002). Table 1 includes descriptive statistics for ET and HR measurements in the competition phase and intervals and for the variable PP.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…So for n = 18, the p value was set at 19/36 X.05 = .026. This is a less conservative procedure with greater power than the Bonferroni correction (Thissen, Steinberg, & Kuang, 2002). A power analysis showed that for our 3 group design with 133 cases and an average of 44 cases per group, an alpha value of .026 permitted the detection effect sizes of .7 with a power of .8.…”
Section: Resultsmentioning
confidence: 99%