Sentence examples for and considering the correlation from inspiring English sources

It is obvious that Th-med and Th-adv increase with Th-int/r-IEL<20 Th-int/r-IEL<20 Th-int/r-IEL<20%n coefficients (Tande 4), are proportionate to r-lu and Th-int, although with Th-med this relationship is statisticonsideringger then with Th-adv.

For each species pair we calculated the difference in ψ2 and the difference in θs1, and considered the correlation between these differences.

For each group of animals we paired species to form a set of independent contrasts and considered the correlation between the difference in allozyme heterozygosity and mitochondrial diversity.

Briefly the principal m/z values of (C) and (G) were identified by considering the correlation coefficient criteria of > = 0.995 by plotting the normalized intensity (Meuleman et al. [2008]; Deininger et al. [2011]) of the m/z values versus concentrations.

In our study, even if we found an ICC of 20% in some cases, huge variations between logistic regression models (considering independent data) and generalized linear mixed-effects models (considering the correlation between schools) were not founded.

Estimation of chemical weights and the resulting WQS index while considering the correlation between compounds allows us to make generalized inference about the mixture effect and identify the individual chemicals ("bad actors") most strongly associated with NHL.

Two notable correlations were apparent, considering the correlation coefficients.

By correlating the module eigengenes with the differentially expressed miRNA expression patterns and considering the individual significant correlations shown in Figure  4, three modules (red and brown –positively correlated with ethanol drinking, and turquoise –negatively correlated with ethanol drinking), were found to be preferentially targeted by the differentially expressed miRNAs.

Genecological relationships of traits with source environments were evaluated by considering the correlations and regressions for the first three PCs and for several individual traits.

To this end, we use research performance data of German business schools and consider the linear correlations and the rank correlations between publication-based, supportive, and citation-based indicators.

As a result, the G2D-PCA method is proposed, and this method considers the correlation between both columns and rows.