Sentence examples for multivariate correlation coefficient from inspiring English sources

However, the result of the multivariate correlation coefficient method from Zhu et al.[ 17] can be shown to be the same as the 'simple' method.

Using a multivariate correlation coefficient adapted for modularity assessment called the RV coefficient (Klingenberg 2009) and exploration of the morphological integration using a two-block partial least squares analysis, we showed bipartition of the mandible in two integrated morphogenetic components that supports the current modularity hypothesis.

Using a multivariate correlation coefficient adapted for modularity assessment and a two-block partial least squares analysis to explore the morphological integration, we found that these QTL clustered into two well-integrated morphogenetic groups, corresponding to the ascending ramus and the alveolar region.

This method agreement can be interpreted as a multivariate Intraclass Correlation Coefficient (ICC) as well as a multivariate Kappa[ 39, 40].

Selecting statistically independent measures of urbanization depends upon the nature (multivariate collinearity) and strength (correlation coefficient) of correlations between urban metrics.

Another metric that facilitates the development of robust multivariate models is the correlation coefficient (r) or the coefficient of determination (R).

The RV coefficient is a measure of the correlation between two or more sets of landmark coordinates and a multivariate generalization of the correlation coefficient R. The RV coefficient is computed as the trace of the squared covariance matrix between the two sets of landmarks scaled by the square root of the squared variance and covariance within the two partitions (Klingenberg 2009).

IC50 and IC90 values for each compound were correlated to the relative mRNA levels of target genes using Spearman's rank correlation coefficient and multivariate analysis.

Correlations were significant, at r = −0.896 and r = −0.917, respectively, at the significance level of 0.01 using multivariate correlation analysis based on Pearson's correlation coefficient (Table 2).

The overall similarity between datasets in the set of common samples was measured using a multivariate extension of the Pearson correlation coefficient called the RV-coefficient.

Univariate and multivariate Cox regression with Pearson correlation coefficient was performed using the R survival package version 2.36-14.