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Using a nonparametric analysis, pre-dialysis clinic attendance still predicted higher QOL score.
Nonhomogeneous data were evaluated using a nonparametric analysis of variance and the Wilcoxon rank sum test.
Likewise, mean fluorescence intensities for each TKR and signaling node from the 12 dogs provided a small data set thus giving little power to detect non-Gaussian distributions and therefore were evaluated using a nonparametric analysis of Wilcoxon matched-pairs signed- rank test which assumes that the differences in groups are distributed symmetrically around their median.
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For each of the 74 individual gene alignments, a phylogeny was produced with PHYML, using a nonparametric bootstrap analysis of 100 replicates.
Because physical role limitation scores did not follow a normal distribution, the bivariate analysis was re-examined using a nonparametric Spearman correlation analysis.
ROC curves were characterized by the area under the curve (AUC) and the significance of the difference between AUCs was tested using a nonparametric Friedman two-way analysis of variance by ranks [ 32].
To test the robustness of this approach, we repeated the analysis using a nonparametric technique based on fundamentally different assumptions.
Fourth, we compared the screen viewings of the patterns at different time points using a nonparametric equivalent for ANOVA (Kruskal-Wallis analysis of ranks) and for paired t tests (Wilcoxon signed rank sum test).
Statistical analysis was conducted using a nonparametric Wilcoxon rank sum test.
To establish whether the miRNA-treated group had significantly fewer tumors than the control groups, we used a nonparametric statistical analysis, the Kolmogorov-Smirnov (K-S) test.
An increasing trend was also suggested by a nonparametric analysis conducted using a generalised additive model.
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