Sentence examples for multivariate models with from inspiring English sources

Spectral variable selection is an important step in spectroscopic data analysis, as it tends to parsimonious data representation and can result in multivariate models with greater predictive ability.

The purpose of this paper is to study optimality of an experimental design under the multivariate models with a known or unknown dispersion matrix.

With 100 cases, we also expected to fit reliable multivariate models with up to 10 covariates without over fitting the data [11].

Logistic regression used both univariate and multivariate models, with use of clustering analysis as the outcome.

Uncorrected biomarker concentrations were used for multivariate models with SG as a covariate.

No statistically significant interaction terms were found for multivariate models with either depression or general health as the outcome.

Multivariate models with and without information on change in HbA1c over time showed a similar aROC of 0.78.

A multivariate model with this covariance structure provides a reasonably good fit to logArea data.

When placed in a multivariate model with HLA-B*57, heterozygosity and homozygosity for the HLA-C5'-C independently associated with disease-retardation (Table 2, compare models 2 and 4).

b Model 1: Multivariate model with individual-level covariates only.

We selected the multivariate model with the lowest AIC score.