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We first explored the data graphically to ascertain their distribution, to identify outliers and to examine the interdependence between variables.
The non-parametric Spearman's rank and Kendall tests were used to test for interdependence between variables and the Wilcoxon test was used to compare mean values.
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Further, to determine the degree of interdependence between the variables p53β, p53γ and p53 mutation with respect to survival and cancer recurrence, we aggregated these variables into combined variables and reran the CR analyses.
The good correlation suggests the interdependence between these variables.
The interdependence between numerical variables was performed by the use of the Spearman rank correlation test.
Because of the interdependence between different variables analysed in this study, we chose not to use Bonferroni correction.
Pearson's r can be viewed as an indicator that describes a linear interdependence between two variables, ranging from −1 to 1.
Pearson correlation coefficient (PCC) is a standard measure of interdependence between two random variables.
We found slightly stronger associations between residual change in language ability and attention problems at 36 months, both for PLBW and control children, possibly reflecting a trend toward higher interdependence between the two variables over time.
The electrocardiographic and echocardiographic data, which were not normally distributed, were compared by Mann Whitney U test and Spearman's rank-order correlation coefficient was used for assessing the interdependence between the measured variables.
The former interesting measure was merely proposed with the purpose of mining meaningful association rules, while the latter was designed to reveal the interdependence between condition and class variables.
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