Sentence examples for models yielded comparable from inspiring English sources

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.

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)).

Removing either BMI or waist circumference from model 4 yielded comparable, nonsignificant associations (excluding BMI, HRQ4 1.22 [0.94–1.59]).

Restricting the multivariable model to postmenopausal women yielded comparable risk estimates (data not shown).

Notwithstanding this point, previous studies reported that, when used, both mathematical modeling and genotyping approaches yielded comparable results [ 21, 40].