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Multiple mean comparisons using least significant difference were computed using the significance level (p < 0.05).
To assess the statistical significance of the difference in lipid datasets and PC scores, the Student t-test was performed using the significance level of 0.05.
To assess the statistical significance of the difference in datasets, the Student t-test was performed using the significance level of 0.05.
To this end, Bonferroni adjustment was performed to the significance level 0.05 of the test (i.e., instead of using the significance level 0.05, the level 0.05/number of SNPs was used instead).
Using the significance level of p<0.05 constrained by at least two-fold expression change as selection criteria, we found that 31 miRNAs were differentially expressed in CA study subjects (17 up and 14 down) and 18 miRNAs were differentially expressed in AA study subjects (9 up and 9 down).
All statistical tests were two-sided, using the significance level of 5%.
Similar(50)
For all tests used, the significance level was set at 0.05.
We used the significance level of the conditional independence tests as α = 0.05 for our stopping criterion and the minimum number of children in a node considered for splitting was 200 for Caucasian and 80 for African American.
We generally used the significance level of 0.05.
We use the significance level α=.05 for statistical testing throughout the article.
We used the significance level of α = 0.05 in all analyses.
More suggestions(15)
using the feature level
using the ground level
using the technology level
using the significance analysis
using the wafer level
using the significance threshold
using the species level
using the significance bit
using the ward level
using the slurry level
using the actin level
using the spirit level
using the expression level
using the proposition level
using the component level
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