Sentence examples for both models indicating that from inspiring English sources

However, the deviance/degree of freedom were close to 1 in both models indicating that overdispersion was not a major concern.

The plots show a nonlinear dependency of BTR and RTP for both models, indicating that nonlinear regression models could provide a better fit.

Once the analysis is finished, note that the "Analysis" column is unchecked for both models and the "Results" column is checked for both models, indicating that parameter estimates and model fit statistics are available.

The propensity score remained significant in both models, indicating that patients who had a high likelihood of being treated with biologics had a significantly lower a priori chance of remission.

The linear regression and the mixed effect model produced similar results although the likelihood ratio tests had p-values <0.001 for both models, indicating that a random effect model had a much better fit than the linear model.

Both models indicated that the ACE experienced density-driven air convection during the winter months.

The results from both models indicate that combined forces interaction significantly affect fragility relationships.

The statistical parameters from both models indicate that the data are well fitted and have high predictive ability.

Both models indicated that the calcination is very fast in oxy-fuel conditions when the appropriate temperature conditions are met.

Comparing the MARD% of both models indicates that ANN is more accurate than GMDH.

The results in both models indicate that women with higher income levels were more likely to demand for post abortion care relative to women with lower income levels.