Sentence examples for discriminating performance from inspiring English sources

The stepwise model-building procedure has been reported to be associated with higher probability of selecting a redundant variable but with similar chance of selecting the true predictors, which then lead to poorer discriminating performance of the prognostic model than the BMA approach (31, 32).

While there was no significant difference between the discriminating performance of log[TG] compared to TRL-C, the discrimination of the ratio log[ TG]/HDL-C was clog[ TG]/HDL-Cnificantly higher than the TRL-C/apoA-I ratio to quantify the severity of non-fasting AD in patients at high CMR.

For a cutoff as low as BEP > 0.3 a good discriminating performance can be achieved on all datasets positive predictive value ((PPV) > 0.5, negative predictive value (NPV) > 0.94).

Five models with the best discriminating performance for BPD showed an AUC of more than 0.70 for the combined outcome death or BPD at 36 weeks PMA [ 14, 26, 31, 34, 40], together with two models with a lower discriminating performance on the outcome BPD [ 33, 46].

High reproducibility was observed for both the change in the PFAA profiles in the lung cancer patients and the discriminating performance for lung cancer patients compared to previously reported results.

Although the model was developed in a relatively small number of patients (n = 243), it exhibited good discriminating performance for short-term outcome (predicting death and discharge to home or to a nursing facility).

Assessors need training to reliably rate learners' performance and discriminate between performance levels (Kogan et al. 2009).

For these quality assessment systems, it is crucial to achieve a high level of precision, to discriminate the performance of the entities that are responsible for the performance itself, and to align hospitalization rate indicators with measures of other contexts of care (cost, clinical management, satisfaction/experience ) that are typically computed at a local level.

For a primary care quality assessment system, it is crucial to achieve a high level of precision, to discriminate the performance of the entities that are responsible for the performance itself, and to align hospitalization rate indicators with measures of other contexts of care (cost, clinical management, satisfaction/experience) that are typically computed at a local level.

Thus, the mechanical parameters measured while skiing these ergometers are not pertinent to analyze and discriminate the performance produce by elite athletes.

An analysis of the table (Table 3) shows that aerobic fitness is not able to discriminate the performance of Brazilian jiu-jitsu athletes of different competitive levels (in accordance with the statistical analysis).