Sentence examples for significantly stronger correlation from inspiring English sources

There was a significantly stronger correlation between the Delta-E and detection in Experiment 2 than in Experiment 1: z = −2.74, p = 0.01.

The significantly stronger correlation of SUV and HU (z = 2.41, p < 0.05) compared to ACC (kBq/ml) and HU can be attributed to the reduction of the dependence of the correlations tested on administered dose as a confounding variable in this analysis.

Crucially, distance-to-mean resulted in significantly stronger correlation with BOLD signal than the adaptation regressors.

Linear regression analysis comparing the overlapping transcripts in the ≥1.8-fold-change lists from nth-1 xpa-1 anth-1 xpa-1nfirmed this difference (R2 = 0.12) whereandthe single mutants show significantly stronger correlation (R2 = 0.94).

Our subgroup analysis showed a significantly stronger correlation between serum insulin and leptin among European women than among South Asian women, whereas WHR and leptin levels showed similar correlation values across groups.

More importantly, high STAT1 levels appeared as an enhancer of CCL2 and CXCL10 as indicated by the significantly stronger correlation of CCL2 and CXCL10 with IFN score in high STAT1 patient visits relative to low STAT1 patient visits.

While all of the six groups of traits fulfilled a practical definition of phenotypic modularity, in having significantly stronger correlations within the module than across modules in at least some taxa, three modules, the orbit, zygomatic-pterygoid, and cranial, were significantly correlated in less than half of the taxa.

Factor 1 (Worry Engagement) demonstrated higher internal consistency and significantly stronger correlations compared to the total PSWQ score and factor 2 (Absence of Worry).

When we repeated the correlation analysis on the set of RCE genes, we found significantly stronger correlations than for the CE genes (fig. 5, average Pearson's R = 0.314 for the old predictions and 0.514 for the new predictions).

We found significantly stronger correlations between SLS and WOMAC-pain, WOMAC-function, the SF-36 pain sub-category, velocity and step length than between K&L scores and these parameters (Pearson's r— 0.50 vs. 0.26, 0.53 vs. 0.34, 0.50 vs. 023, 0.81 vs. 0.33, 0.77 vs. 0.37, respectively; all p 5 0.05).

Results showed a significantly strong correlation between flow and presence.