The phrase "and considered the correlation" is correct and usable in written English.
You can use it when discussing the evaluation or analysis of a relationship between two or more variables or factors.
Example: "In the study, the researchers analyzed the data and considered the correlation between exercise frequency and overall health."
Alternatives: "and evaluated the relationship" or "and assessed the link".
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.
When only molecules in the middle range (molecular weight between 250 and 550) are considered, the correlation with the molecule size is much lower, (r2 = 0.459), while correlation between chemist score and SAscore is still good (r2 = 0.803).
If all drug light intervals (single and double injection) were considered, the correlation between tumour response and plasma drug levels was not significant (P=0.078).
Given the difference between the concepts assessed by the WPS questions and the other measures considered, the correlation coefficients are expected a priori to be low to moderate (low = 0 to 0.3, moderate ≥0.3 to <0.5), thus indicating a divergent validity of the measures compared.
When the single retrospective study [20] was excluded, however, and only the prospective studies were considered, the correlation was significant (r = −0·682, P = 0·030, Fig. 3).
To align the expression arrays, we first identified subsets of genes with strong between-tissue correlation in expression and then considered the correlations between samples across these subsets of genes.
However, population-based studies to investigate this correlation in Koreans have rarely been conducted, and few studies have considered the correlations among vitamin D status, insulin secretion and insulin sensitivity in Koreans.
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.
