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.
RankProd uses a nonparametric statistical measure to detect genes constantly highly ranked across different microarray datasets and is therefore a feasible meta-analysis tool, enabling fusion of omic data from different studies and allowing for inclusion of data from different laboratories and performed on differing platforms.
Correlations between histological subtype according to the 2004 WHO classification and Masaoka Koga stage were evaluated using a nonparametric measure of statistical dependence between the two variables.
Talluri and Narasimhan (2003) proposed a max min productivity based method deriving variability measures of vendor performance, which are then used in a nonparametric statistical manner for the identification of groups of vendors to have an effective selection.
among tissues we used NOISeq [ 50], a nonparametric statistical approach that presents a low false discovery rate.
Statistical analyses are carried out using the Mann-Whitney test, a nonparametric statistical program appropriate for sample number less than 10.
We calculated post- versus preimplementation differences using the Wilcoxon signed-rank test, a nonparametric statistical test considered appropriate for Likert-style data (Lovelace and Brickman, 2013).
Thus, a nonparametric statistical analysis was used, that is, Kruskal-Wallis test followed by Dunn's Multiple Comparisons.
For example, multifactor dimensionality reduction (MDR), a nonparametric statistical method, is commonly used for detecting possible gene-gene interactions in multigene causing diseases [ 23, 24].
We used a nonparametric Mann–Whitney test for statistical analysis.
