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We calculated 99% CIs because of multiple tests performed across ethnic groups.
Finally, 3 SNPs were included in this study and we cannot rule out the possibility of false-positive associations because of multiple tests.
Because of multiple tests, we counted a conservative Bonferroni correction (0.05 divided by 5) and considered the P values of <0.01 to be significant and those of >0.01 to <0.05 to be indicative of significance.
Similar(57)
Because of multiple testing, a 99%% confidence interval was applied to adjust for multiplicity.
Because of multiple testing, only p < 0.001 is considered significant.
Of note, because of multiple testing (6 totally separate p-values were computed empirically), the level for significance was p<0.009.
Furthermore, we could not rule out the possibility that the observed significant interaction between IL-18 and lean body mass on the MetS might be by chance because of multiple testing.
This might represent variation because of multiple testing.
Because of multiple testing a 1% significance level was chosen.
a α set at 0.01 because of multiple testing.
However, because of multiple testing, the false discovery rate adjusting for 23 tests was around 50%.
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CEO of Professional Science Editing for Scientists @ prosciediting.com