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The two-tailed Pearson's chi square, student's t test, and a multiple logistic regression analysis were applied to evaluate associations using a significance value of p≤0.05.
The same was repeated with the Lowess normalized data using a significance value of 0.01.
Analysis was conducted in SaTScan version 9.3 [ 24] using a significance value of α = 0.05.
Statistical analysis by stepwise forward logistic regression using a significance value <0.05 (restricted model) or <0.10 (broad model) for entry.
All analyses were done in R Statistical Package [ 22], using a significance value of α = 0.05, unless otherwise stated.
Log2 ratios of the average probe intensities between the experimental and known genome were calculated and input into CGHScan using a significance value of 0.05.
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Briefly, target genes of the best discriminative miRNAs were predicted by the miRanda algorithm using a significance threshold value of <0.01 and subjected to a gene set enrichment analysis (GSEA) using GeneTrail (Backes et al, 2007).
We give the unadjusted P value assessed using a significance level of 0.05, and also indicate which tests remained statistically significant after adjustment using the Bonferroni-Holm method to account for multiple testing (33).
This analysis implemented the statistical test of GO class abundance described above, using a significance threshold with a q-value ≤ 0.05 [ 85].
Significant adjustments in muscle transcript expression following a single bout of endurance exercise and training between carriers and non-carriers of the ACE I-allele were evaluated from normalized values using a Significance Analysis of Microarrays test (SAM) running as an applet in Microsoft Excel software (Tusher et al. 2001).
Two-sided statistical analyses were conducted using a significance level of P < 0.05; P values were derived from the t test.
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