Exact(4)
In a multivariate logistic regression model, the effect of LUCAS was tested, corrected for confounders.
Without probe filtering, 45,376 probes were determined differentially methylated (multiple tested corrected p-value < 0.05).
The resulting P-values were multiple tested corrected using qvalue.cal function as described in the siggenes Bioconductor package [ 60] and a P-value of < 0.05 was applied as cutoff.
dData obtained from Martin et al. [ 48]*The calculated step-down multiple tested corrected p-values greater than 1 are simply represented as having a p-value of 1.
Similar(56)
WEBGESTALT GOs, KEGGs and Benjamini Hochberg Multiple Testing corrected p-values for all significantly differentially expressed modules.
Unless otherwise stated, p-values are multiple-test corrected using Bonferoni correction.
The multiple testing corrected P-values (Benjamini correction) are reported.
The effects of data smoothing and miscalibration were assessed with paired-sample t test, corrected for multiple comparisons (Bonferroni).
The results of Student's t test, corrected for multiple comparisons, are shown: *p < 0.05, **p < 0.001.
This p-value would correspond to a multiple test corrected p≈0.05.
Data were analyzed by ANOVA followed by pairwise Student's t-tests corrected for multiple comparisons.
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