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Multi-experiment viewer v4.4 (Mev) software was used for the Significance Analysis of Microarray (SAM) method, a multiple testing statistical analysis, to identify genes that were differentially expressed in response to SSR.
As this involved multiple testing, statistical significance was considered if p < 0.01.
To adjust for multiple testing, statistical significance was assigned where P < 0.001.
Given the multiple testing, statistical significance of results should be interpreted with caution.
Results Because of multiple testing, statistical significance was set at an adjusted P limit of <0.0005.
Because of multiple testing, statistical significance was determined after controlling for the false discovery rate (Benjamini and Hochberg, 1995).
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For multiple tests, statistical significance was adjusted using strict Bonferroni corrections [ 48].
However, after correction for multiple testing, the statistical significance was insufficient.
After adjusting for multiple testing, the statistical significance was remarkably attenuated (empirical P = 0.4263).
To account for multiple testing, the statistical significance level for the P-value was set at 0.01.
Opposed to this, "standard repeated measures ANOVA" would require post-hoc analyses for all groups, and multiple testing decreases statistical power.
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