Sentence examples for multivariate models selection from inspiring English sources

Briefly, these stages consist of (1) segmentation of soft tissue, (2) registration of the left images to the right images, (3) bilateral subtraction of the coregistered images, (4) filtering of the images to enhance the signal and texture, (5) feature extraction, (6) multivariate models selection using a train set, and (7) model evaluation on a test set.

A multivariate model selection approach was implemented to test for effects due to statin use.

Multivariate model selection using a stepwise procedure based on the Akaike information criterion (AIC) was performed.

Stepwise multivariate model selection [ 28, 29] was used to determine the combination of covariates for the multivariate models.

A multivariate model selection approach was implemented to test for effects due to statin use, where we used a backward selection procedure to identify significant confounders.

The multivariate model selection was performed by a stepwise strategy using the likelihood ratio test to create a multiple risk factor model.

Multivariate model selection was based on adjusted R-square values, Mallows C(p) criterion, and forward and backwards selection procedures; final models used a significance level of 0.05 for inclusion of predictors.

Variables that were significantly related to both the secondary sex ratio and PCB exposure terms (α ≤ 0.10) or that changed the odds ratio estimate for the main effect (≥ 10%), were included in multivariate model selection.

Multivariate model selection was performed to create the final adjusted model; variables were removed if these had a p value >0.2 and were not of clinical significance thus ensuring that the inclusion or removal of each variable did not grossly affect either the fit of the model (LRT or akaike information criterion (AIC)) or the estimates for remaining variables.

The Cox multivariate model selected by Collett's Model Selection approach contained cognitive functioning, global health status and social functioning in addition to the selected clinical factors (Table 3).

Variables significantly associated with the endpoints in univariate analyses were included in the multivariate models (forward selection).