Sentence examples for multivariable modelling are from inspiring English sources

Parameter estimates for multivariable modelling are often not stable when presence of a variable occurs infrequently.

Multivariable modelling was pursued in stages (table 3).

Multivariable modelling was achieved using multiple linear regression.

Multivariable modelling was used to identify factors associated with being screened.

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.