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Associations of FMD and GMD with age, continuous CV variables and disease activity variables were evaluated using linear regression analysis.
The association of the cIMT with age, continuous CV variables and disease activity variables was evaluated using linear regression analysis.
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Differences between groups and associations between CV risk variables and tertiles of serum uric acid were tested with ANOVA (for continuous CV risk factors) or Chi squared statistics (for nominal CV risk factors), adjusted for differences by age and sex.
However, the inner layer CV with variable selection give a prediction error of only 17%.
Furthermore, the CKD definitions were added individually to a reference model comprising the Framingham-CV-RS variables and HbA1c, and measures of model discrimination and reclassification were assessed.
We analyzed the cohort of 138 RA patients for associations between serum levels of S100A9, S100A8, S100A12 and sRAGE with RA clinical variables, CV risk factors, and with complications such as vasculitis, radiographic changes, and CV events.
Control variables (CV) can be controlled at fixed targets or within one- or two-sided ranges around the targets.
As shown in Fig. 4, fluctuations in CV of the variables are smooth for grid sizes larger than 2,500 m, which was proposed as the range of influence in the variograms earlier in Fig. 3.
Whereas a comparatively lower sum of co-variances scaled by the square of the summed means (hereafter the co-variance CV) among these variables also indicates higher stability since it implies that different facets of an ecological function synchronize less over time, whereby minimizing the risk of functional breakdown.
Then two SOC methods are applied to determine the optimal individual controlled variables (CVs) and measurement combinations as CVs.
In addition to the CV, absolute variability was obtained by calculating confidence interval for each variable.
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