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We used Fisher's exact right-side test based on hypergeometric distribution and corrected for multiplicity testing by the Bonferroni method.
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These p values represent the p values corrected for multiplicity testing (see details in "Methods").
The significant cTFBSs with a p-value (corrected for multiplicity testing) < 0.05 were selected.
Considering multiplicity testing issues, comparisons were controlled using the false discovery rate at the 5% test level [ 24].
First, it faces the problem of multiplicity from multiple testing.
Statistical significance of each predictor is assessed by the Bonferroni multiplicity correction to account for the effect of multiple testing.
This has been called the multiple testing problem or the problem of multiplicity [ 8].
Because of multiple testing, a 99%% confidence interval was applied to adjust for multiplicity.
Correction for multiplicity of testing is planned by identification of correlations between the variables, i.e. those of autonomic tone.
The increase in the type I error rate induced by the multiplicity of tests was controlled by the Benjamini-Hochberg adjustment from the False Discovery Rate family [ 35].
To help this happen, Popper wanted an open society with free data to allow a multiplicity of testing scientific experiments.
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