Sentence examples for multivariate method of from inspiring English sources

The traditional multivariate method of feature selection has become grossly inadequate as it is incapable of handling the non-linearity embedded in such natural phenomena.

Using the multivariate method of CNAM in SVS, a total of 2,626,669 distinct segments were detected in the 26,362 samples.

Using a multivariate method of decision trees, we were able to confirm the observation reported by other authors studying cardiac sequelae after treatment of childhood cancer.

Here, we provide a new multivariate method of moments for estimating the between-study covariance matrix with the properties that (1) it allows for either complete or incomplete outcomes and (2) it allows for covariates through meta-regression.

In this paper, a delineation of homogeneous precipitation regions was made based on the multivariate methods of principal component analysis and hierarchical ascending clustering.

In the following subsections, we seek to identify influential factors on the SR fund investor behavior and significant investor group differences from an objective point of view by using two multivariate methods of analysis: ordinal logistic regression analysis (OLR) and the classification tree (CT) method.

Two different multivariate methods of analysis (OLR, CT method) are applied in Sect. 5 to fathom influential factors for SR investing behavior as well as an indication for essential investor group differences and reasons of INT investors for not investing in SR funds.

Findings were analyzed using bivariate and multivariate methods of the associations and determinants of health worker motivation and retention.

The prognostic significance of TSP-1 expression in superficial tumours in both tumour cells and tumour stroma in determining the risk of recurrence and progression with univariate and multivariate methods of analysis showed no statistically significant differences.

Both were developed from NSCLC datasets comprised of a single histological subtype (NSCLC), using multivariate methods of gene selection on a large, well annotated training series originally designed to meet statistical sample-size requirements [ 31].

To clarify the univariate analyses and adjust for possible confounding variables, the selected variables were interrogated using the multivariate methods of binary logistic regression (BLR) with associated odds ratios (OR) and the Cox proportional hazards regression model (CR) with associated risk ratios (RR), both utilising the backwards stepwise elimination method.