1947
DOI: 10.1214/aoms/1177730491
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On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other

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Cited by 10,735 publications
(5,988 citation statements)
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References 2 publications
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“…Since most variables did not comply with normal Gaussian distribution as determined by the Kolmogorov-Smirnov test, 18,19 a nonparametric Mann-Whitney U-test 20 or Kruskal-Wallis test 21 was applied in order to compare independent samples of continuous variables. All p-values were based on 2-sided tests and the threshold to accept statistical significance was set at the alpha level 0.05.…”
Section: Discussionmentioning
confidence: 99%
“…Since most variables did not comply with normal Gaussian distribution as determined by the Kolmogorov-Smirnov test, 18,19 a nonparametric Mann-Whitney U-test 20 or Kruskal-Wallis test 21 was applied in order to compare independent samples of continuous variables. All p-values were based on 2-sided tests and the threshold to accept statistical significance was set at the alpha level 0.05.…”
Section: Discussionmentioning
confidence: 99%
“…None of the groups exhibited normal distribution. Hence each group was first subjected to the non-parametric Mann-Whitney U Test for independent samples [21] to measure the significance of difference, then examined for concordance correlation q c [22], which evaluates the degree to which pairs of observations fall on the 45°line through the origin and contains a measurement of precision q and accuracy C b (q c = qÁC b ) and finally compared using two models of Regression: Deming [23], which takes measurement errors for both methods into account and Passing-Bablok [24], which requires no special assumptions regarding the distribution of the samples and the measurement errors. Based on these findings, Bland-Altman plots [25], where the differences (or alternatively the ratios) between the two techniques are plotted against the averages of the two techniques, were constructed for each group.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Statistical significance of the differences for non-normally distributed data was tested between age groups with the Mann-Whitney U-test. 16 Normal distribution of ELISA data was evaluated by calculating Lilliefors probabilities based on KolmogorovSmirnov test. 17 In order to test the relationship between actual age and cytokine secretion levels, Spearman's rank order correlations were calculated.…”
Section: Tissue Processing and Immunofluorescencementioning
confidence: 99%