Sentence examples for multivariate correlation pattern from inspiring English sources

We used the powerful statistical method (principal component analysis; PCA) to investigate the complex multivariate correlation pattern between the psychophysical tests and different psychological variables.

This study compares the levels of algesic substances between subjects with trapezius myalgia (TM) and healthy controls (CON) and explores the multivariate correlation pattern between these substances, pain, and metabolic status together with relative blood flow changes reported in our previous paper (Eur J Appl Physiol 108 657 669, 2010).

The multivariate correlation patterns between algesics and metabolites, NIRS data, and blood flow were investigated using PCA in order to investigate if different patterns existed in TM and CON.

For investigating the multivariate correlation patterns between the interstitial concentrations of different metabolic and algesic substances, pain intensity, relative blood flow changes, etc., Principal component analysis (PCA) and Partial least squares or projection to latent structures (PLS-OPLS/O2PLS) were applied using SIMCA-P + [ 45].

The within-group analyses of TM gave some support to the latter explanation as classical algesics were significant regressors in the regressions of PPT and pain intensity and the multivariate correlation analyses (PCA) indicated a diverse pattern from controls.

This multivariate correlation method is well-suited for revealing underlying patterns or structure among variables showing high degrees of inter-correlation, as in the case of environmental risk variables supposedly influencing health status [ 37].

Also, alternative parameterization of the cross-basis functions may reduce the correlation pattern in the first stage and avoid estimation problems in the second-stage multivariate model.

The correlations between the BCVA and CST, ME pattern, the integrity of the foveal EPIS, and the interdigitation zone were evaluated by multivariate correlation analysis.

Correlation pattern (as in c) for the excitatory population.

Folate ARS followed the opposite correlation pattern.

It is evident that this problem can not be solved by simple linear multivariate correlation.