Sentence examples for consider predictors from inspiring English sources

This supports the above assumption, and we thus might consider predictors for long MV as predictors for INSURE failure.

In our regression analyses, we consider predictors of variability in iF as well as the DMIRET, so that both individual risk and population risk findings from this study can be extrapolated to other airports not included in this study sample.

Of 4,597 abstracts initially screened, 3,861 were excluded because these studies did not consider predictors of NH admission, were evaluations of pharmacological or non-pharmacological interventions, or took place in settings other than the community (e.g., hospital; see Figure 1).

In this context, we consider predictor-based design for the cascade system of a nonlinear ODE and a wave PDE with a moving uncontrolled boundary.

Many characteristics of shift workers are considered predictors of cardiovascular disease (e.g., poor eating habits, gastrointestinal disorders, sleeping disorders, less favorable working conditions).

8 P.M. (NBC) THE 69TH ANNUAL GOLDEN GLOBE AWARDS Ricky Gervais, above, returns for his third stint as host of these awards -- considered predictors of the Oscars -- sponsored by the Hollywood Foreign Press Association and broadcast live from the Beverly Hilton Hotel in Los Angeles.

Only pH, respiratory rate and PaO2/FiO2 have been considered predictors of response to NIMV [2].

This choice is due to the fact that spatial predictive models need for each of the considered predictors to cover the whole geographic space.

References [12, 13] and [14] considered predictors for δ in linear regression models with stochastic or non-stochastic linear constraints on the regression coefficients.

Adjusted R-squared values equal to 0.27 and 0.23 indicate that only 27% and 233 % of variation of the dependent variables as the number of tremors and total energy of tremors, respectively, can be explained by the considered predictors (Table 1).

The adjusted R-squared values indicate that only 27% and 233 % of variation of the dependent variables as the number of tremors and total energy of tremors, respectively, can be explained by the considered predictors.