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Multiple testing during pregnancy prevailed; the second tests were often provided at a late stage of gestation.
In patients with multiple testing during the study period, only the first sample taken was included in the analysis.
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As no Bonferroni-like adjustment for multiple testing was applied during this exploratory analysis, P-value nearing 0.05 has, however, to be considered cautiously.
Bonferroni correction for multiple testing was employed during the secondary prevention analysis and statistical significance was set as p<0.025 (0.05 divided by the number of independent testing; log-rank test and multiple Cox regression analysis).
However, it is important to note that many of these improvements were lost during multiple testing in the Klooker et al. trial.
To control the False Discovery Rate (FDR) during multiple testing, the FDR criterion introduced by Benjamini and Hochberg [101] was applied to p-values.
Excellent inter-rater reliability was also found during multiple testing (r2 = 0.50 to 0.71).
The FDR represents an expectation of the proportion of false positives among the selected differentially expressed genes, which increases dramatically during multiple testing, inherent in microarray experiments[ 12].
In order to reduce the number of false positives that occur during multiple testing, we applied the False Discovery Rate (FDR) controlling procedure of Benjamini and Hochberg on the t-test p-values [ 32].
AdjP-value corresponds to p-value adjusted by the multiple test adjustment, during enrichment test.
A parallel analysis identified 2105 unique transcript clusters as differentially expressed (after multiple test correction) during the seven days of lymphocyte stimulation compared to D0.
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