Sentence examples for model analysis that from inspiring English sources

In any case these are extremely important stages of model analysis that are required to prove the quality of the model; however, neither of the formal methods of model analysis should be overestimated in determining the model usability.

Due to the complexity of this real planning problem, the KE tool itSIMPLE was used in order to support all the design processes such as specification, modeling and domain model analysis that resulted in a PDDL model, automatically generated by the tool, which was used as input for planners.

A component-based model analysis that was developed by Yu et al. (2009) was used in this study.

The estimates of the variance components can be used to compare the relative importance of the random effects but not for the fixed effect of species richness – hence the motivation for the multilevel model analysis that estimates variance components for all explanatory variables.

The Cox proportional hazards model analysis that was performed showed that having chronic obstructive pulmonary disease and also hypertension were independent risk factors associated with death among TB patients, and having MDR-TB and cavitory disease were contributory to be risk factors associated with death among TB patients.

Finally, this work serves as a model analysis that can be extended to other tumor types of interest.

An exploratory modeling analysis that represents deeply uncertain phenomena such as the future potential for innovation and the behavior of future governments draws policy-relevant conclusions from this model.

In order to address difficulties with heritability interpretation, we have employed a mixed-model analysis that uses fixed and random effects.

Within the control condition, there was no evidence for a relationship between difficulty ratings and reduction in BDI-II, as indicated by a nonsignificant Time × Difficulty interaction, F 4, 54) < 1, in an equivalent mixed-model analysis that included the mean difficulty rating (M = 1.55, SD = 0.60) as a covariate.

For comparisons among treatments, a mixed-model analysis that took into consideration sequence, treatment and treatment period as fixed effects and subjects nested within sequence as a random effect was used to compare dose-normalised logarithmically transformed values for Cmax, AUC0 t and AUC0 inf.

All models (including human iPS cells and simple systems like worms and flies) are fraught with limitations, but there is power in multi-model analysis that one might hope would lead to a greater likelihood for translation from basic science findings to clinical practice.