Sentence examples for multivariable analysis models from inspiring English sources

Two multivariable analysis models were examined.

Variables found to be significant at the p < 0.10 were included in the final multivariable analysis models.

In the multivariable analysis models, a manual stepwise backwards elimination process was used to identify factors that were significantly associated with the study outcomes using 5% significance level.

In the multivariable analysis models, we adjusted these confounders to investigate the individual effect of VAP on medical expenses and utilization.

In the multivariable analysis models, a manual procedure of stepwise backward elimination process was used to identify factors that were significantly associated with the study outcomes using 5%% significance level.

These two factors remained significant after adjustment for confounding by age and sex in the multivariable analysis model.

A multivariable analysis model is presented for secondary outcome.

We selected age as the covariate in multivariable analysis model 1.

This article attempts to inform the debate by a multivariable analysis model.

The first multivariable analysis model included baseline glycemia measures to examine whether they related to the chosen outcome measures (model 1).

The TIMP-1 remained prognostic for survival in a multivariable analysis model that included performance status, risk group and other biomarkers.