The phrase "are fully validated" is correct and usable in written English.
You can use it when discussing the confirmation or verification of data, processes, or results in various contexts, such as research, software development, or quality assurance.
Example: "Before we proceed with the implementation, we need to ensure that all the test results are fully validated."
Alternatives: "are completely verified" or "have been thoroughly confirmed."
Three of the four methods are fully validated and the validation is successful.
And, let me add, the coolest – and most important – thing is that our computational analyses are fully validated in chemical practice.
This work is based on results from a Fortran code (which was derived from receptance analysis) that are fully validated against detailed finite element (FE) models of the structure.
However, results of tests simulating the gastric phase only are still more reliable, given that these tests are fully validated.
Figure 1 shows bidirectional promoters that are fully validated when a CAGE transcript flanks both sides of the promoter region.
These results are fully validated by the EM reconstructions, as our localization densities are in remarkable agreement with our difference density EM map.
Our implementation was fully validated against the official validation suite provided by the MMFF authors.
The assay was fully validated according to the guidelines for validation of analytical procedures and the results were satisfactory.
Screening methods were fully validated in accordance with the WADA Code of validation for urine and plasma which was extended to hair samples.
In addition, the automated method was fully validated according to Good Clinical Laboratory Practice (GCLP) guidelines, including the validation parameters accuracy, precision, robustness and specificity.
Translated HAQ-DIs have generally been fully validated, using methods such as test-retest reliability, item-total correlations, convergent validity, interviewer vs. self-administered formats, and factor analyses.
