Sentence examples for important predictive power from inspiring English sources

These variables have been associated with worse outcomes in previous studies, consistent with our findings of an important predictive power of symptoms and WHF for future events.

Due to partial agreement with nature, models have an important predictive power (although to a limited extent) in building an interpretative framework for other researchers until new information (obtained after technological improvements) challenges and rebuilds these frameworks [ 9].

In addition, JWA has significant predictive power for its correlation with tumor differentiation in the present study, which was known as an important factor for tumor progression.

Clearly, both models have significant predictive power.

We showed that Wikipedia page view data provided for an important increase in predictive power in this context.

Linear multiple regression and correlation analyses reveal several important findings regarding the predictive power of brain volume changes in lesioned animals.

This model incorporates the approximate logarithmic spacing of filter center frequencies (log at high frequencies and more linear at low frequencies) in the auditory nerve and an adaptive gain control mechanism, which was important for improving the predictive power of the model.

Hence, it is important to compare the predictive power of number sense variables to those of more general variables with robust methods in a single framework.

Cognitive ability also made an important contribution to the predictive power of the regressions, especially for the Receptive Language subscale, for which cognitive ability contributed 0.30 to the overall R of 0.65.

Future work on this point is important, and until the predictive power of DCE for HRH policy is determined, decision makers should consider DCE information as one of many inputs to the policymaking process.

He and his colleagues at Vanguard recently studied equities' returns going back to 1926, looking specifically at the predictive power of important variables.