Sentence examples for multivariate models yielded from inspiring English sources

The multivariate models yielded several rather intriguing findings.

Residual confounding by other measured factors might be of minor importance in this study, as our age/sex-adjusted models and multivariate models yielded very similar results.

Indeed, the multivariate model yielded a sensitivity of 85.7% and a specificity of 86.1%, respectively.

Addition of the aforementioned variables to the TIMI multivariate model yielded lower BIC and AIC values (Table S2), consistent with improvements to the model and further attesting to the incremental value of these predictors.

The multivariate model yielded an injectables prevalence rate estimate of 8.7%, and the CYP model an estimate of 10.1%.

Through a transcriptome salivary approach, Li et al. identified a set of seven overexpressed genes in saliva from patients presenting oral squamous cell carcinoma; their association in a multivariate model yielded a sensitivity of 91% and a specificity of 91% [ 35- 40].

Multivariable models yielded similar results.

Thus, depending on the variables selected, the multivariate regression model yielded different results, which are discussed below.

Starting from the empty model, each step selected the predictor that, once included into the multivariate Cox model, yielded the maximum continuous net reclassification improvement (cNRI).

Starting from the empty model, each step selected the predictor that, once included into the multivariate Cox model, yielded the maximum cNRI (9– 14, 14).

Comparison of the variables with the scores obtained for these scales, using the multivariate logistical regression model, yielded the following results.