Sentence examples for multivariate approach described from inspiring English sources

Furthermore, as there are no individual-specific risk prediction tools akin to those used for selected primary cancers [ 15], the use of the multivariate approach described in this paper will allow a determination of which clinical characteristics are associated with the risk of SPC for a given site of first cancer, enabling the construction of a tailored risk prediction tool.

In contradistinction to existing voxel-based univariate or multivariate methods the approach described here can incorporate various forms of prior anatomical knowledge to specify sophisticated spatiotemporal models for fMRI time-series.

To overcome this shortcoming we employ a multivariate approach as described in the Methods section.

Similar to the approach described above, multivariate analyses were performed by including all variables from the univariate analyses with P-values < 0.10.

This is the approach described below.

The approach described augments current methodologies.

Bansal [ 26] describes a multivariate approach that involves fitting the diffraction pattern as a linear combination of model patterns representing crystalline and amorphous standards.

In this study, we describe a multivariate approach using global sensitivity and decision-tree analysis to investigate how simultaneous perturbations in multiple reaction mechanisms affect AP-1 activity dynamics.

Finally, we describe a multivariate approach used to evaluate process parameter impacts on viral clearance, based on the levels of retrovirus-like particles (RVLP) present among process characterization study samples.

Using a multivariate approach has the advantage of being able to describe how all traits interact to determine fitness.

From the perspectives of this study, a multivariate approach may be established using more conventional estimators (multivariate GARCH [ 73] and vector autoregression models [ 74]) or by newly described hierarchical/functional time series [ 75, 76].