Sentence examples for models explain a from inspiring English sources

Additionally, our models explain a novel concept for partial agonism, termed dynamic ligand binding.

When other antecedent and concurrent seasonal conditions are included as predictors, the combined seasonal models explain a significant and large proportion of the variance in coccidioidomycosis incidence.

Our models explain a moderate (32%and43%3% for overall satisfaction and trust in the company respectively) to a high amount of total variance (76% for complaint satisfaction).

The R values for the diabetes control, sexual function, and energy and mobility subscale models were significant, indicating that these models explain a significant amount of the variability in their respective diabetes-specific quality of life subscales.

Taking into account that all the different models explain a similar amount of variance in the end, this indicates that all these variables explain the same variance in general health as measured by item one in the SF-36.

A trimmed model that included only significant predictors had an adjusted R-squared value of 0.7028, suggesting that the trimmed model fits the data as well as the full model, and both models explain a large part of the observed variation in EQ-5D scores.

First, though all models explained a significant amount of variability in effects (as shown by QM), all model fit tests (QE results) were very large and statistically significant.

Both science models explained a significant amount of effect-size heterogeneity, as respectively indicated by QM 3) = 18.9, p <.05 and QM 2) = 13.8, p <.05.

Both models explained a significant amount of heterogeneity in the math gaps, as indicated by QM 3) = 16.3, p <.05 and QM 2) = 8.0, p <.05, respectively.

The final regression models explained a high degree of variance in predicting isokinetic shoulder flexion (R2 = 0.59) and extension (R2 = 0.67) with a subset of four and five inputs, respectively.

Moreover, two models that often describe spatial abundance occupancy relationships well, the He Gaston and negative binomial models, explained a high amount of the variation in our temporal data.