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The log-rank test used for testing significance of the TTR functions in Kaplan-Meier analysis yielded significant P values for separating the two groups of VC patients with different TTR according to their LN gene expression levels of SFN, CA12, JUP and CSTA.
Pearson χ2 test was used for testing significance of group differences for categorical data, Fisher's exact test was used when appropriate.
The Student t test was applied for continuous variables and chi-square test for discrete quantitative variables, testing significance between variables of the two groups.
However, while a dose-dependent increasing trend in peak torque, torsional rigidity, shear stress, and shear modulus was noted in subsequent biomechanical testing, significance was not reached.
We consider the problem of testing significance of predictors in quantile regression, where the sample size n and the number of predictors are allowed to increase together.
The used statistical tests for significance were the following: the one-way ANOVA to test the differences between groups and the chi-squared test in testing significance of difference between qualitative data.
Similar(13)
bRepresents ANOVA (f-test) significance at 0.1%.
Subsequently, Student's t-tests were performed to test significance.
Binomial test was employed to test significance of AI between the two alleles in the hybrid.
One-way ANOVA test significance between the isolated strains was performed (P < 0.001) NT not tested.
The two-tailed, unpaired t-test was used to test significance.
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