Sentence examples for proportionality correlation from inspiring English sources

Thomson et al. (2004, 2005), for solar flares of X class found that the phase perturbations on NLK, NDK (USA), NPM and Omega Australiaa) signals received at Dunedin show greater proportionality (correlation) with the X-ray flux over the amplitude.

Proportionality and correlations between pairs of baseline covariates were checked as described (5).

Similarly, despite an only approximately twofold range of expression, we still observe a high correlation with direct proportionality (r = 71%) for cells expressing untagged CENP-A.

A case-cohort analysis was conducted on each simulated data, and then all three proposed correlation tests for proportionality were applied.

If the observed, computational activity is proportionality confirmed by the following residual correlation factor, (6).

In below, we used simulation studies to empirically evaluate the performance of these three proposed correlation tests to examine proportionality for a case-cohort Cox model analysis.

This assumption of proportionality may be well satisfied because correlation and linear regression analysis of plasma glucose concentrations and ISF glucose levels from insulin-exposed and insulin-unexposed tissue sites indicated that the derived intercepts are not different from zero and that glucose concentrations in the ISF correlated closely with those in plasma (supplementary Table 2).

We found no statistical significant interactions, bivariate correlations or violations of the proportionality assumption.

Simulation studies showed that each of the three correlation tests accurately detected non-proportionality. Application of the proposed tests to the example case-cohort investigation dataset showed that the Cox proportional hazards assumption was not satisfied for certain exposure variables in that study, an issue we addressed through use of available, alternative analytical approaches.

This paper aims to address these issues and empirically evaluate the proposed correlation tests for the assessment of proportionality in case-cohort Cox model analysis.

The consistency of the regional proportionalities across varying body weights and significant positive correlation between body weight and total surface area suggest that as body weight increases, the total surface area increases, but the proportion of each regional area to the total surface area remains constant.