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*P value expressed for student T-test.
* P-values for student t-test and ANOVA † Pearson correlation coefficient.
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Three or four sets of microarray data for each experiment were used for Student t test and gene collection.
Two groups were compared using chi-square tests for categorical variables and student t-test for continuous variables.
P-values estimated with Pearson's chi-squared for categorical variables and student t-test for continuous variables Total may not sum 100%% due to missing data.
For normal distributions, student t-test was used.
For instance, using student t-test IL2 dataset consisted of 5001 DEGs with a p-value <0.05, whereas the Storey FDR method produced 5955 at q<0.1.
For this we used the student t-test, corrected for multiple testing using the false discovery rate.
For normal data, ANOVA and post-hoc analysis was used for multiple comparisons, and two-tailed student t-test for single two-sample comparisons.
Distributions for demographic, social and respiratory characteristics were compared using Chi-square, for comparison of proportions and the student t-test for comparison of continuous values.
For each area, a student t-test was used to test the difference in composition for each SOD measure between HPSA tracts and non-HPSA tracts.
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