The phrase "a more robust evaluation" is correct and usable in written English.
It can be used when discussing the need for a thorough or comprehensive assessment of a situation, process, or system.
Example: "To ensure the effectiveness of our program, we need to conduct a more robust evaluation of its outcomes."
Alternatives: "a more thorough assessment" or "a more comprehensive review".
The authors acknowledge that a more robust evaluation process, in particular a more thorough understanding of a priori knowledge of the students' Earth science and evolution knowledge, would be beneficial to further affirm the efficacy of such projects.
With most of the metrics, the difference between the RMSE results from experiments in [7, 8] is relatively large, and more experiments should be conducted to form a more robust evaluation of the metrics.
To provide a more robust evaluation of the models we presented AUC scores but along with measures of omission and commission that were based on the 15% testing subset [62].
Additionally, pairing the threat networks with a biophysical classification (e.g. size, shape, temperature, salinity) can inform the assumption that stresses to estuaries are affected by their physical composition and make for a more robust evaluation of estuaries in the region [41].
Other models, both simpler [17] and more complex than ours (such as the SAVANNA model [26], [27]) have been or could potentially be applied to this problem, and an ensemble modeling approach would potentially provide a more robust evaluation of the range of risks associated with road construction.
Future amalgamation of independent cohorts with similar DN phenotypes will enable a more robust evaluation of such loci.
However, lack of rigorous evidence limits conclusions regarding the effectiveness of adolescent IPV and SV prevention programs and indicates a need for more robust evaluation.
In Race to the Top's 500-point scoring system, states can earn at least 58 points for developing more robust evaluation systems and using them to make staffing decisions, like who should get tenure.
These interventions show potential for further development and refinement and more robust evaluation with large scale pragmatic cluster RCTs.
The extensive analysis of the various evolutionary model variants suggests the need for more robust evaluation mechanisms of computational models for protein structure prediction.
Owing to our scepticism about the validity of the published effect estimates of the intervention programme and our general interest in having more robust evaluations of large-scale interventions, we sought to conduct a new analysis with a more rigorous methodological approach, that is, an interrupted time-series analysis.
