Sentence examples for model which assesses from inspiring English sources
She moved Long Beach away from what is commonly called the "waiting to fail" model, which assesses children only after they have failed for several years, instead getting tutoring and other intensive help to them in the earliest grades.
The comparative static of the model, which assesses the impact of caloric intake on health, shows that increases in the gap between best practices and what an individual actually believes lead to an overconsumption of food.
The data from this monitoring will be inputted to software which meets the IS EN15026:2007 convention-a dynamic model which assesses the movement of water both as a vapour and as a liquid.
Our goal in this paper is to present a simple mathematical model which assesses the impact of health interventions according to two comparable dimensions of efficiency and equity.
Also, the descriptive methodology selectively identifies a factor's method of influence within specific survey group(s) as opposed to a logistic model which assesses the strength and direction of a relationship for variables across an entire survey population.
Based on the first order Markov model, which assesses conditional transition probabilities, a patient that was a continuous user in 1996, has been a continuous user in every previous year (p93→94 * p94→95 * p95→96).
We examined the composition of the proposed latent variables (social network quality and quantity) by testing the strength of the measurement model, which assessed the factor loadings of the latent variables on the measured variables.
The primary analysis was an intent-to-treat linear mixed-effects model, which assessed change in each outcome at 6 and 18 mo.
> -wrap-foot> Oddsdds ratio, 95% CI 95% confidence interval, ATC Anatomical Therapeutic Chemical, NA not applicable, OD orphan drug The results from the multivariate model, which assessed whether any of the statistically significant characteristics were related, are shown in Table 4.
The output of the SFA model, which assessed productivity and efficiency, showed that the sign for number of beds, number of doctors, number of nurses, and number of non-medical staff is positive.
Despite the possible intrinsic data overfitting, the employment of logistic models, which assess all the combination among the variables analysed, reduce biases related to the selection of group comparisons.
