Sentence examples for more consistent predictive from inspiring English sources
This issue needs to be considered and resolved in developing a novel method, since one of the expectations in pathway-level aggregation has been that the expression of the pathway as a whole may become more consistent, predictive, and reproducible across independent datasets despite gene-level inconsistencies [ 5, 9].
Below, we list some overall recommendations and challenges that we hope will significantly advance the field by making animal studies more consistent and predictive of future clinical outcomes.
Perhaps more notable is the consistent predictive utility of an infant's nutritional status for BCG immunisation delays which accords with available limited reports from other resource-poor countries on default among older infants [ 30, 31].
Moreover, the variance of the validation data set is almost equal to that of the calibration data set, denoting a more consistent model, with higher predictive power than the PLS one.
Boosting with a pseudo Huber loss function showed high accuracy, whereas Random Forest produced more consistent results and an interesting predictive ability.
In contrast, discriminant validity requires an external criterion, which is more consistent with the framework's definition of a predictive instrument [ 4], and item discrimination refers to the difficulty of each item of the test [ 8, 9].
A better and more consistent data collection regime may help to improve the predictive performance of the NNM and identify the significant factors.
While still in their infancy, we believe that the current emerging trend in mathematical epidemiology towards real time predictive methods will enable a shift towards more quantitative surveillance and primary prevention, resulting in more consistent and extensive monitoring of emerging infectious diseases and improved designs for health interventions and logistic allocations as epidemics unfold.
In contrast to these findings on gender, some more consistent results have emerged regarding the degree to which ethnicity or being from a non-English speaking background is predictive of academic dishonesty.
