Sentence examples for approaches for multivariate from inspiring English sources

Hierarchical clustering analysis (HCA) is one of the most commonly used approaches for multivariate analysis, which can classify the objects (samples) into classes (clusters) by means of measuring either the distance or the similarity between the objects.

The approach for multivariate Cox modeling was to (1) obtain a model by allowing entry of only genetic features, (2) include all significant interactions after testing all possible pairs of interactions among significant genetic factors selected by multivariate Cox regression, and finally (3) adjust this model for age, ISS, and study site to obtain a final composite model for outcome.

Fan and Wang (2009), Liu et al. (2010) used the same approach for multivariate failure time data with auxiliary covariates.

The origin of PCA can be traced back to 1901 [14] and it is an approach for multivariate analysis.

We propose a new standardised approach for multivariate community analyses on ecosystem scale, based on a combined data matrix from different taxonomic groups.

A natural extension of the previous approach for multivariate data is to extract the intersection among inverse images of multiple function values first, and then track the topological changes inherent in that intersection with respect to the multivariate function value changes.

The above is a standard analysis and plotting approach for multivariate data, but since this analysis has been driven by the principals of GM that maintain the relationships in physical space amongst the variables, these results can be used to construct hypothetical configurations of landmarks representing arbitrary points in the space of principal components.

It is not only a correction procedure, but a more general approach for multivariate data analysis.

The method presented in this article is a powerful approach for multivariate QTL analysis for MAGIC populations.

An approach for multivariate QTL analysis in biparental populations based on WGAIM was presented by Verbyla and Cullis (2012).

In this article, an approach for multivariate QTL analysis is proposed for MAGIC populations, building upon Verbyla and Cullis (2012) and Verbyla et al. (2014); the approach is called multivariate multiparent (MVMP WGAIM.