Sentence examples for models evaluating the from inspiring English sources

In this article, we summarize clinical trials and case reports on fornix deep brain stimulation for Alzheimer's disease and review experiments on animal models evaluating the physiological or behavioral effects of this intervention.

Moreover, codon models of substitution rates and models evaluating the magnitude of change to physical amino acid properties demonstrate little evidence for adaptive evolution and suggest that elevated nonsynonymous substitution rates in these domains represent relaxed selective constraint.

RSM is a kind of mathematical and statistical technique for designing experiments, building models, evaluating the relative significance of several independent variables, and determining the optimum conditions for desirable responses[5, 27, 28].

RSM is now considered as a standard statistical approach designing experiments, building models, evaluating the effects of many factors and finding the optimal conditions for desirable responses and reducing the number of required experiments [10].

The response surface methodology (RSM) is a statistical technique for designing experiments, building models, evaluating the effects of several factors, searching optimum conditions for desirable responses and reducing the number of experiments (Wang et al. 2007).

Response surface methodology (RS M is essentially a particular set of mathematical and statistical method for designing experiments, building models, evaluating the effects of variables, and searching optimum conditions of variables to predict targeted responses (Myers and Montgomery 2002).

Generalized linear models evaluated the effects of site-specific microclimatic factors on abundance.

Generalized linear models evaluated the effects of site type, season, and weather on vector-mosquito abundance.

Both models evaluated the change in response over time using various nonlinear model structures.

Both models evaluate the effects of the same predictor variables with the exception of partner sex.

Multivariable models evaluated the independent predictive value of LGE above other clinically and statistically significant covariates.