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No multiple comparison corrections were performed.
Multiple comparison corrections were performed using the Bonferroni correction.
Multiple comparison corrections were performed by a Bonferroni correction [ 27].
Several associations remain significant even after stringent multiple comparison corrections.
The Benjamini-Hochberg False Discovery Rate adjustment was applied for multiple comparison corrections.
For comparisons between multiple groups, one-way ANOVA followed by Bonferroni's multiple comparison corrections were used.
Similar(38)
All results are corrected using 5% Bonferroni multiple comparison correction.
Multiple comparison correction strategies were applied to limit the accumulation of false positives of multiple tests.
There was no indication for the use of multiple comparison correction.
However, this effect was no longer significant when applying a multiple comparison correction (Table 3).
After cluster-level multiple comparison correction [25], clusters of adjusted t values above 2.05 (p < 0.05) were considered significant.
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