Sentence examples for validated metrics from inspiring English sources

Curricula with objective, validated metrics rating performance are widely used.

We have developed validated metrics to measure the impact of RMT and have created a centralized data-collection Web portal for those using these assessment tools; work is underway for a common tool for use with the mentors of undergraduates (Fleming et al., 2012, 2013; Byars-Winston et al., personal communication).

However, from our point of view, none of them provides a set of empirically validated metrics (objective indicators) to help the designer in accomplishing an outstanding model that guarantees the quality of the DW.

Although our study shows evidence of successful malaria elimination, additional validated metrics to ascertain success are needed.

Outcomes: Meaning in work, empowerment and engagement in work, burnout, symptoms of depression, quality of life, and job satisfaction were assessed using validated metrics.

In addition, using validated metrics for outcome assessment in large study populations; determining justifiable thresholds to delineate between sham, low, and high air ion concentrations; and implementing an adequate exposure duration and follow-up period are recommended.

To define and validate metrics of embryo progression and morphology during extended embryo culture and to compare the effects of early cleavage (EC) vs. blastulation stages on clinical pregnancy.

This family of experiments is a very important aspect in the process of validating metrics as it is widely accepted that only after performing a family of experiments, it is possible to build up the cumulative knowledge to extract useful measurement conclusions to be applied in practice.

While we do not employ a rigorous application of statistical methods to create or validate metrics of vulnerability, we find that other assessments of vulnerability and risk utilize, to some degree, ad hoc aggregation or binning approaches similar to those used in this paper (Cutter and Finch 2008; Good and others 2008; Milman and Short 2008; Patrick and others 2009).

In this paper, by extending the concept of "area metric" and the "u-pooling method" developed for validating a single response, we propose new model validation metrics for validating correlated multiple responses using the multivariate probability integral transformation (PIT).

The model was validated extensively using different validation metrics to check the robustness and predictivity of the model for regulatory acceptance and enhancing confidence in QSPR predictions.