Sentence examples for predictive variables and from inspiring English sources

Thus, other variable's were examined in an effort to find more predictive variables and to understand the wide variability in the found rates of depression among the sites.

This was true even when modeling other predictive variables and excluding potential exaggerated pharmacology (i.e., on-indication side effects).

Today, as parameters for digital soil maps, base maps constitute the library of predictive variables and constrain the supported resolution of the soil map.

It has also been successful in driving a research effort to identify important predictive variables and relate these to an underlying model of interaction.

Thus, the results of this study may serve (i) to guide future work on detailed mapping in similar areas that may incorporate MS and DRS as predictive variables, and (ii) to establish the best strategy of combination of geostatistics and canonical correlation analysis for the identification of areas with different sugarcane production potential.

This study investigates whether load estimates and resultant power to detect trends can be enhanced by (i) modelling the error structure so that temporal correlation can be better quantified, (ii) making use of predictive variables, and (iii) by identifying an efficient and feasible sampling strategy that may be used to reduce sampling error.

This paper employs the Baidu Index as a predictive variable and investigates its predictability for Chinese stock returns.

Mir-degree is the AUC prediction of using MirNet-DrugExt-D as the predictive variable and MirNet-DiseaseExt-D as the response variable.

Results clearly show the importance of age as a predictive variable and demonstrate non-parametric models to be more precise than parametric models if age is not available as an independent variable.

In the final model, all other explanatory variables could be excluded, except the selection treatment (predictive variable) and the individual (random variable).

There are several reasons why adding a new predictive variable may not result in a better accuracy of a predictive model including a low prevalence of the variable, the absence of predictive value of this variable, and the presence of a correlation between the predictive variable and the variable(s) originally included in the predictive model (i.e. APACHE-II).