"robust validation" is a correct and usable phrase in written English.
It is typically used in technical or scientific writing to describe a thorough and rigorous method of evaluating the accuracy and reliability of data or information. Example: "The researchers conducted a series of experiments to ensure the robust validation of their findings before publishing their results."
It said the full figures would undergo "robust validation" by the DWP before publication.
The outpouring of affection for the 76-year-old sovereign was seen as a robust validation of the monarchy as a symbol of nationhood.
The statistical data will undergo robust validation in DWP, compiled and released in accordance with the Code of Practice for Official Statistics.
These findings need robust validation in bigger independent cohorts.
The results of each of these types of assessments provided robust validation of the 3D pharmacophore.
However, there is a need for well-defined and robust validation tools to assessing the reliability of segmentation results.
At present, robust validations requesting additional information from GPs are limited in size due to costs, and their generalizability is compromised by nonparticipation of many practices.
To date, the evidence base in African palliative care has been severely limited by the absence of a locally developed tool for outcome measurement, validated using robust scientific validation methods [ 8, 9].
When doing biomarker discovery using the van de Vijver datasets, our approach relies heavily on robust cross validation to control over fitting rather than leaving out an artificial validation set.
We argue that complementary biological and chemical biology strategies are essential for robust target validation.
A systematic modeling approach is developed for robust simulation, validation and operation optimization of ICSTUN.
