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The Hochberg procedure was used for multiple testing adjustment, and adjusted p < 0.05 was used as the significant criterion.
A multiple testing adjustment [ 125] was performed on the t-statistics of each contrast to adjust the false discovery rate, and on the 1-way ANOVA F-statistics.
The Bonferroni method was used for multiple testing adjustment of the p-values obtained from the 18 paired t-tests conducted; adjusted p-values of p ≤ 0.05 can be interpreted as statistically significant test results.
Stars indicate significant enrichment (One-way ANOVA, P < 0.05; Multiple testing adjustment, FDR) in the different fumigation years.
This reduction in the number of variables increased the power to detect significant associations between mood state and chronobiological variables secondary to the more favorable multiple testing adjustment profile.
Of the 22 miRNAs, 3 miRNAs miR-181a, miRNAs miR-181aR-424—remained significant risk factors (OR > 1.0) or protective factors (OR < 1.0) for ARDS in the validation cohort after multiple testing andustmiR-424 remainedjamini–Hochberg) miR-424 remained
These multiple testing adjustment procedures are sometimes too strict, and may miss real disease-gene associations in large scale SLAS.
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The method of false discovery rate (FDR) was used for addressing the multiple-testing adjustment, and adjusted p < 0.01 was used as the significant criterion.
These associations remained significant even after multiple-testing adjustment on the number of markers by permutation test (Table 2 and Supplement Table S2).
The Bonferroni correction, which resets the significance threshold from α to α/ M in the presence of M independent tests, is probably the most popular method for multiple-testing adjustment.
However, since 104 false positives were expected from the 10,368 gene-tests performed under the null hypothesis when P = 0.01, we applied a False Discovery Rate (FDR) multiple-testing adjustment to control for type I error [ 17].
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