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The comparisons were based on nonparametric tests - Mann Whitney Test using SPSS Statistics 20 package.
Relationships between mRNA levels of the different target genes, and comparisons between median target gene mRNA levels and clinical, histological and biological parameters were based on nonparametric tests – namely the Mann–Whitney test (link between one qualitative parameter and one quantitative parameter) and the Spearman rank correlation test (link between two quantitative parameters).
Statistical comparisons were based on nonparametric tests, and statistical significance was defined as P < 0.05.
c Based on nonparametric tests for 2 independent sample and Kruskal-wallis H. Kruskal-wallis H
Statistical comparisons were based on nonparametric tests and statistical significance was defined at P < 0.05.
Statistical analyses were carried out with SPSS 17 Software SPSSS, Inc., Chicago, IL, USA) and were based on nonparametric tests (Mann–Whitney U test, Wilcoxon test).
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Although approaches have been developed to model and analyze 'case-control' samples, they are usually based on nonparametric statistical tests such as χ or trend tests etc. and rarely account for the biases described above [ 9].
The comparison of the GFAP concentrations between the different subgroups was based on nonparametric rank tests (for two groups, Wilcoxon Mann-Whitney-U-test; for more than two groups, the Friedman 2-way ANOVA by ranks).
Based on nonparametric statistical tests, YYPO is shown to provide highly competitive performance relative to the other algorithms while having a significantly lower time complexity.
Outliers notwithstanding, there was strong statistical support for a trend of increasing Nb /Na over the time series based on nonparametric runs tests.
There were no statistically significant differences, P >0.05, between groups based on nonparametric Wilcoxon and t-tests.
More suggestions(15)
based on nonparametric analyses
based on univariate tests
based on serological tests
based on standard tests
based on subjective tests
based on robust tests
based on independent tests
based on nonparametric correlations
based on genetic tests
based on nonparametric estimates
based on nonparametric graphs
based on various tests
based on posthumous tests
based on nonparametric approaches
based on statistical tests
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