The phrase "a more robust interpretation" is correct and usable in written English.
It can be used when discussing a stronger or more thorough understanding of a concept, text, or situation.
Example: "After reviewing the evidence, we arrived at a more robust interpretation of the data that better explains the observed trends."
Alternatives: "a stronger interpretation" or "a deeper understanding".
"Some primates would give it a more robust interpretation, some less so," Archbishop Williams said of the directive.
He argues for shorter copyright terms, and for a more robust interpretation of fair use of relatively minor amounts of a copyrighted work.
Yet, with a more robust interpretation of its mandate and with more cash and troops, it should be able to do more to help the millions on the verge of famine, death and despair.
Hence, we conclude that alternative measures of technical change permit the exploration of different dimensions of the same dependence and help a more robust interpretation of the benchmark results.19.19
Consequently, a more robust interpretation of treatment effect can be made by incorporating data from sea lice life cycle stages.
However, in order to provide a more robust interpretation of analysis, we also adjusted our analysis to include the use of data at the county level as explained further.
This will allow for a far more robust interpretation of the resulting characterisation of the dynamic properties.
These results demonstrate the need to define more robust interpretation criteria than those currently in use. Figure 1 [ 18 F]choline PET (a) and [ 18 F]choline PET/CT (b) of axial section of pelvis.
There is also the need to approach the analysis of these sands with more robust interpretation techniques that that will enable better understanding of the reservoir heterogeneities so as to reduce uncertainties.
More robust interpretation of the serologic findings of both studies is constrained by the lack of henipavirus sequence data from PNG and neighboring countries.
Considering this, within channel and treatment normalization approaches do not only enable a more robust data interpretation, but since for many applications the individual values themselves do not need to be comparable, they are also sufficient.
