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We also scrutinised associations between pain and various factors (e.g. socio-economic) by means of multivariate logistic/linear regression analyses.
Spectroscopic data have been processed by means of multivariate analysis in order to design a discriminating map.
Several parameters affecting enzymatic hydrolysis, derivatization by in-situ acetylation and the DLLME stages were carefully optimized by means of multivariate designs.
Data evaluation was performed by means of multivariate statistics such as multiple linear regression, principal component analysis (PCA), and partial least squares (PLS) modeling.
By means of multivariate Cox regression analysis, high plasma BNP level was the strongest predictor for heart failure events (hazard ratio, 6.31; P < 0.001).
A distribution model of three taxa (spiders, carabid beetles, and butterflies) is related to influencing factors by means of multivariate statistics (canonical correspondence analysis (CCA), partial CCA).
The correlation between PHA content in wet cell samples and the spectra of the SB stained supernatant was determined by means of multivariate and linear regression analysis.
The experimental parameters related to the system were studied by means of multivariate analysis, using 24 full factorial design and Doehlert matrix.
To optimize the separation of eight anticonvulsant agents, the effect of six experimental parameters on retention was investigated by means of multivariate analysis.
Multivariate image analysis was applied to QSAR modeling of the redox potential of quinones derivatives by means of multivariate calibration such as principal component regression (PCR) and partial least squares (PLS).
Robust prediction models for the spatial distribution of grassland vegetation, molluscs and carabids in a study area at the Middle Elbe Germanyy) had to be generated by means of multivariate statistical methods.
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