Sentence examples for models using multivariate from inspiring English sources

The methodology is based on the identification of data-based models using multivariate statistical methods such as Partial Least Squares (PLS).

It is possible to develop predictive models using multivariate regression analyses.

Long-term costs are generated alongside the parametric survival models, using multivariate regression models to predict annual cost estimates.

In Table 3, multilevel regression models using multivariate random coefficient analysis among subjects are separately summarized for CD3+, CD4+ and CD8+ cells, which are the dependent variables, respectively.

Previously, empirical models using multivariate calibration (MVC) schemes, including partial least squares (PLS) [ 16] and neural networks [ 17, 18], have been employed for analysis of reflectance spectra.

Final models using multivariate regression, for distance and MEE separately, were chosen based on likely and relevant confounders after examination of the findings from univariate analysis.

Both functions are modeled using multivariate probability distributions, where in particular so-called copulas are helpful.

These variables were used to make the final prediction model using multivariate logistic regression, which will be used to develop their Minimizing ICU Readmission (MIR) score.

When a quantitative phenotype such as growth rate under stress is considered, regression modeling using multivariate techniques such as partial least squares (PLS) is often used to identify metabolites correlated with the target phenotype.

aAdjusted for all included predictors in model using multivariate logistic regression analysis.

Dropout will be analysed by (non) parametric longitudinal analysis techniques (eg GLM model) using multivariate statistics.