Sentence examples for multivariable modelling in from inspiring English sources

We repeated the multivariable modelling in a sensitivity analysis without imputation and with heart rate and respiratory rate as dichotomised variables with clinically accepted thresholds, to assess the robustness of the imputation process and to generate more clinically meaningful odds ratios rather than odds ratios per change in unit from the modelling.

After adjustment for other factors, deprivation was not independently associated with breastfeeding at 6 8 weeks in London PCTs (not taken forward to multivariable modelling in analysis of any breastfeeding; p values for the last model including this variable in the analysis of exclusive breastfeeding ranged from 0.21 to 0.74).

However, we did include these variables in the multivariable model in order to adjust for their effects.

We included 3 multivariable models in the analyses.

We used three multivariable models in our analyses.

Variables were entered in the multivariable model in a stepwise forward fashion.

The multivariable model in Table  2 included factors theoretically available to clinicians at treatment initiation.

These data were used as a covariate for an additional multivariable model in the validation set.

The variables that were included in the multivariable model in the present study have been included in multivariable models in previous studies of phase 1 clinical trials [ 17, 18].

In addition overall specific quality of life was the strongest predictor in the multivariable model in this study.

BMI and GWG were included in all multivariable models in order to estimate their independent associations (ORs) with caesarean birth.