Sentence examples for multivariable models were from inspiring English sources

Univariate and multivariable models were computed with the use of logistic regression models.

Final multivariable models were adjusted for age, gender, time of day, weekend, number of occupants.

In an attempt to improve diagnostic accuracy, several multivariable models were examined.

Multilevel multivariable models were used to identify factors associated with satisfaction.

Areas under the receiver-operating curve for early and late multivariable models were 0.760 and 0.892, respectively.

Two multivariable models were generated, comparing VRE and vancomycin-susceptible Enterococcus (VSE) with the same control group.

Moreover, the 95% confidence intervals of multivariable models were wide, indicating that there may be some imprecision in the effect estimates.

Multivariable models were created by a backward stepwise procedure using Egret for windows.

Multivariable models were used to consider the independent effects of clonal complex and the presence of the MDA prophage.

Therefore two multivariable models were developed.

Two multivariable models were developed (Table  4).