Sentence examples for models variables were from inspiring English sources

In the logistic regression models, variables were aggregated.

In the final models, variables were retained with a p value of less than or equal to 0.05.

For multivariable models, variables were retained in the final model based on a manual backward elimination procedure (10% change in effect estimate) and based on a priori hypotheses.

In the multiple linear regression models, variables were included when they were found to be associated with depressive symptoms in previous studies.

For the composite models, variables were eliminated by a backward elimination procedure until all variables in the model (with the exception of the demographic variables) had a p-value less than 0.05.

Schwartz's norm-activation model variables were collected.

The model variables were estimated using values from literature.

The effects of local settings and model variables were relatively small, making the results more generally applicable.

Initial values for model variables were determined as follows.

Moreover, all the model variables were treated as categorical variables and we used the WLSMV method to estimate the model.

Variables with p<0.15 in the univariate Cox analyses were considered for inclusion in the multivariate model; variables were retained in the final model if p<0.05.