Here, we propose a novel, alternative multivariate approach that overcomes these limitations — whole brain probabilistic ordinal regression using a Gaussian process framework.
We used a multivariate approach to compute these estimates and analyzed the effect of patient characteristics (gender, age at diagnosis, first cancer site, year of diagnosis and follow-up) on SPC risk.
Based on these characters a multivariate approach (discriminant analysis) was carried out using the computer software STATISTICA version 7.1.
In order to establish the combined importance of the effects of these variables, a multivariate approach was used.
These characteristics require a multivariate approach to ROC analysis that accounts for both the variation of case difficulty and the variation of reader skill in a study.
All these techniques are strongly supported by a multivariate approach.
The analysis demonstrates the large theoretical and empirical gaps in the evaluation of these management systems and begs for a more scientific, critical and multivariate approach.
Extraction conditions were optimized using a multivariate approach.
Although multivariate approach did not improve enantioresolution any further, analysis time was significantly reduced.
The variables influencing the derivatization reaction were reliably optimized by the multivariate approach of "Experimental design".
