Sentence examples for multivariate modelling with from inspiring English sources

Even though our cohort is one of the largest of its kind, a small sample size is one of the limitations of this study because the statistical analysis involved multivariate modelling with large number of variables.

Our multivariate modelling with no random effects included showed that P contained significant among-trait covariance (LRT comparison of model with full P matrix to one with diagonal elements only, i.e., all covariance terms set to zero; χ6 = 136, P < 0.001).

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.

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

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

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).

However, when examined in the context of a multivariate model with B*57, the hazard ratio for the HCP5 allele was >1 (RH = 2.06; 95% CI = 0.98 4.33, P = 0.056; Table 2, model 5).

All cases with missing values for the variables examined were excluded from the multivariate model with 114 patients infected by the Mercian strain and 1,891 patients in the control group included.

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

We selected the multivariate model with the lowest AIC score.