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For histological evaluation, the data were evaluated using one-way nonparametric Kruskal Wallis for a 5%% significance level.
The data were evaluated using Cohen's effect sizes and Spearman's correlation coefficients.
The data were evaluated using STRvalidator in order to describe the occurrence of PCR artifacts such as peak imbalance and allele/locus drop outs.
The data were evaluated using Student t-test with SigmaStat statistical software (version 2.0).
The data were evaluated using a Student's t-test or Mann-Whitney test, when appropriate.
The data were evaluated using the 2−ΔΔCT method [21], [22] using the DNA level of E4 gene from day 0 from each sample for normalization.
Similar(34)
The data was evaluated using simple descriptive statistics (non-parametric) and Spearman's correlation analysis.
The data was evaluated using pair-wise comparisons and data decomposition into singular value decomposition (SVD) modes.
Gaussian distribution of samples was tested and the statistical significance of the data was evaluated using the two-tailed t-test.
The goodness-of-fit of the candidate models to the data was evaluated using the adjusted goodness-of-fit statistic provided by the sem function.
The analysis of the data was evaluated using percentages.
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