Sentence examples for multivariate model use from inspiring English sources

In the final multivariate model, use of antidepressants was associated with a 26% higher risk of diabetes.

A statistical multivariate model using principal component analysis of Raman spectra from stem cell-derived CMs and non-CMs achieved 97% specificity and 96% sensitivity [64].

The variables with p value less than 0.5 in the bivariate analysis were entered to the multivariate model using the enter regression method.

After describing the relationships between explanatory variables, we built a multivariate model using logistic Generalized Linear Models (GLMs) and estimated parameters with a Generalized Estimating Equations (GEE) procedure.

We developed the multivariate model using a backward stepwise regression analysis [23].

Clinical and laboratory features with P<0.15 were then entered into a multivariate model using forward and backward likelihood ratio logistic regression.

We also repeated the third multivariate model using this subsample.

Subsequently, we included these characteristics in the multivariate model using backward selection.

A multivariate model using a stepwise regression analysis was performed to correct for confounders.

For each tool impact score we built a multivariate model using doctor characteristics as predictors.

As some of these SNPs exhibited correlations, we fitted the final multivariate model using 12 SNPs.