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In performing independent t-tests, Bonferroni corrections were used due to multiple comparisons (statistical significance: p < 0.01 for HAMD, DS, SS, HADS-D, and HADS-A and p < 0.006 for the eight SF-36 subscales).
For multiple comparisons statistical significance was evaluated using ANOVA analysis.
For multiple comparisons statistical analysis was performed using either two way analysis of variance (ANOVA) followed by a Bonferroni post test or unpaired student's t-tests.
We are cognizant of the fact that this does pose limitations to the direct clinical application of the results and therefore used a conservative multiple comparisons statistical threshold to highlight the significance of the M70 latency developmental model.
Due to multiple comparisons, statistical significance was set at a p value of 0.004 (Bonferroni correction).
Owing to multiple comparisons, statistical significance was defined as P<0.005.
Similar(43)
The Tukey method is a single-step multiple comparison statistical test (Morrison et al. 2013).
Following the ANOVA, multiple comparison statistical tests according to Tukey's HSD test were done to assess the significance between algorithms.
Three independent experiments were carried out and statistical significance was evaluated by Turkey test which is a single-step multiple comparison statistical test.
When the data were pooled across the participating laboratories, four tissues had significant decreases with both the pairwise and multiple comparison statistical approaches from 50 mg DDE/kg bw/day when using 0.4 mg TP/kg bw/day.
Moreover, when GSEA is applied to multiple pairwise comparisons, statistical significance of the enrichments requires to be corrected for multiple testing.
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