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Based on whether the data were normally distributed and the number of tested groups for comparison, the levels of significance were determined by appropriate statistical analysis.
There was no significance in statistical analysis.
Statistical analysis was performed by Student's t test to determine significance between groups (p < 0.05).
The statistical significance was determined by one-way analysis of variance (ANOVA) followed by the Bonferroni post hoc test to determine significance of differences between multiple test groups.
Significance was set at P < 0.05, as determined by statistical software analysis (SigmaStat 3.5, Systat®, San Jose, CA).
Statistical significance was determined using SAM (significance analysis microarrays) and Student's t-test.
For statistical analysis, student's t test (Mann–Whitney) was used to determined statistical significance.
A p-value threshold of 0.05 was used to determine statistical significance for all data analysis.
Statistical analysis of significance was determined by two-tailed student's t-test using IBM SPSS statistics software version 24.
Statistical analysis: Statistical significance between groups for each end point was determined using a one-way analysis of variance (ANOVA) and Bonferroni's post hoc test.
Wherever possible, statistical analysis was performed to determine the significance of results.
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