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Exact(14)
After correction for multiple testing this variant was, however, not associated with type 2 diabetes in the present meta-analysis including 55,521 individuals (OR = 1.05, 1.01 1.1, P = 0.012).
After correcting for multiple testing, this number dropped to 11.
Because of multiple testing, this finding should be interpreted with caution.
However, after adjustment for multiple testing, this OR was no longer significant.
After Bonferroni correction for multiple testing, this result was no longer significant (p value must be less than 0.005).
Even though we had corrected for multiple testing, this approach may have been ineffective to correct for false positives.
Similar(46)
After Bonferroni correction for multiple tests, this analysis revealed significant enrichment for molecular functions in heterochromatin, including DNA binding (12 genes) and sequence-specific DNA binding (12 genes).
Unlike other statistical treatment as multiple tests, this random forest approach considers data without making any assumption on genes independency and leads to complementary results [ 24].
So far, results were not adjusted with the Bonferroni correction for multiple testing as this would have been too conservative for this explorative investigation.
The greater numbers of aberrantly spliced genes than differentially expressed genes cannot be attributed to the greater degree of multiple testing since this and other methods of analysis we used correct for this.
There were 16 genes that differed with a p-value<0.001 (not corrected for multiple testing), and this list was reduced to five when corrected for multiple testing.
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