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We have presented a novel method of estimating the information rate between two continuous signals.
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Correlation coefficients assess the association between two continuous distributions.
Spearman correlation coefficient was used to estimate the correlation between two continuous variables.
Pearson's r measures the association between two continuous variables.
Associations between two continuous variables, or between a continuous and an ordinal categorical variable, were analyzed by the Spearman correlation coefficient.
The relation between two continuous variables were evaluated using Spearman's rank correlation tests.
Spearman's correlation test was used to assess the relationships between two continuous variables.
Relationship assessment between two continuous variables is by Pearson correlation coefficient.
The Spearman rank-order correlation test was used to examine the relationship between two continuous variables.
For correlation between two continuous variables, linear regression with Spearman's rank test was used.
Spearman's correlation coefficient was applied when testing the association between two continuous variables.
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