Sentence examples for model yielded comparable from inspiring English sources

We chose to include education in the model without household income to minimize the possibility of collinearity because a) income and education are strongly associated (chi-square p = 0.001) and b) the final model yielded comparable results with either variable separately (except for PFOS, which included one additional significant term between income and smoking status).

This alternative model yielded comparable results to the final model of immediate postnatal care, whereby early attendance to ANC was marginally associated with immediate postnatal care (p = 0.057) showing that the mothers who attended ANC early were more likely to have immediate postnatal care (aOR 1.272; 95% CI (0.993-1.630)).

The 3D and the 1D dual-permeability models yielded comparable results as long as pressure heads are in local equilibrium; however, could describe either the upward infiltration or the matric potential curves but not both at the same time.

The remaining four heterogeneous variance models yielded comparable DICs.

We found that each of these models yielded comparable results (i.e., the difference in risk estimates across models was primarily < 1%, with the largest difference being < 10%).

The findings indicate that for data coming from a population where the relationship between the outcome and the covariate was in a simple form (e.g. log-linear), the two models yielded comparable biases and mean square errors.

When the models contained a linear confounder Z, the two models yielded comparable relative biases (Table  1, Figures  1A and B) except for a few scenarios in which the biases from the log-binomial models were slightly larger than those of the robust Poisson models.

The Bayesian analyses of AA data with simple (Poisson) and comprehensive (GTR) models yield comparable PP supports for the above relationships.

These results indicate that the GGIUH model yields comparable performance for the two map scales.

In fact, LIDE with mixture model yields comparable aPSNR as global enhancement methods, even higher in some cases.

The experimental results show that our proposed model yields comparable anomaly detection performance with a deep autoencoder, while reducing its training and testing time by a factor of 3 and 1000, respectively.