Sentence examples for multivariable modeling are from inspiring English sources

Factors independently associated with the risk of suspected recurrent NAT based on multivariable modeling are shown in Table  2.

Results of multivariable modeling are presented as odds ratios (OR), two-sided p-values, and 95% confidence intervals (with associated confidence interval plots) [ 14].

Multivariable modeling is a tradeoff between model complexity and parcimony.

The checklist proposed by Harrell [ 29] for multivariable modeling was followed where possible.

Significant p-value in multivariable model are in bold.

Multivariable models are essential in analyses of pain.

Multivariable models are constructed to correct for potential confounders.

Variables in the multivariable model are adjusted for all other variables in the model.

Results of multivariable models are presented as adjusted odds ratios with 95% confidence intervals.

The results of the multivariable model are presented in Table  1.

Independent predictors of MRSA carriage on admission for each multivariable model are shown in Table  2.