Sentence examples for model only variables from inspiring English sources

This logistic regression model included variables that were statistically significant (p < 0.05) in the univariate analysis, and in the final model, only variables that were statistically significant were included.

Numerical differences between columns (a) and (b) are small, and can be attributed to differences in the "conditioning model" expressed in equation (9): in our MESE model, only variables used in the wage equation were included in the conditioning, whereas for PVs, equation (9) is expanded to condition on (proxies for) all possible regressors and interactions that secondary analysts might use.

As the final model, only variables with p value less than 0.05 were retained in the model.

For the final model, only variables associated to empowerment with p < 0.25 were included.

To avoid excess of variables and unstable estimates in the subsequent model, only variables which reached a p-value less than 0.3 were kept in the subsequent analyses.

All the variables in Table 1 were entered into the model; only variables (or variable strata) significantly related to the dependent variable are retained in the logistic regression model.

In the final multivariate models only variables with p-value less than 0.05 were retained.

In all models only variables with significant coefficients (p ≤ 0.05) were included.

In the final multivariate models only variables with a P level less than 0.05 were retained; non-significant variables were removed by means of a backward selection procedure.

Colinearity between variables was excluded prior to modelling; only variables associated with a higher risk of AKI (P <0.2) on a univariate basis were introduced in the multivariate model.

In the final models, only variables or interactions that were found to significantly affect the outcome at P < 0.05, and corresponding lower-order interactions terms whether significant or not, were retained.