The phrase "a more robust determinant" is correct and usable in written English.
It can be used when discussing factors or variables that have a strong influence or effect on a particular outcome or situation.
Example: "In our study, we found that a more robust determinant of success was the level of community engagement."
Alternatives: "a stronger factor" or "a more significant influence".
Recent studies have suggested that postprandial spikes of high glucose may be a more robust determinant of vascular risk than average glucose levels as determined by HbA1c.
Although it captured only a snap shot of India's mortality patterns, it reinforced previous findings from the NFHS 1998-1999 that economic well-being was a more robust determinant of mortality risk than social caste [8], [16].
These findings indicate that cholinergic denervation of the limbic archicortex is a more robust determinant of hyposmia than nigrostriatal dopaminergic denervation in subjects with moderately severe Parkinson's disease.
We conclude that cholinergic denervation, especially of the limbic archicortex, is a more robust determinant of odour identification deficits than nigrostriatal dopaminergic denervation in subjects with moderately severe Parkinson's disease.
Although this convergence-divergence-convergence cycle was a time-intensive process, the benefit was a more robust identification and rendering of the many determinants of CHW performance.
Multilevel modeling that can simultaneously account for factors at individual and neighborhood levels is likely to provide a more robust and sophisticated understanding of PA and health determinants [ 28].
The study of near misses, which occur in far greater numbers than maternal deaths, allows for a more robust quantification and conclusion on the risk factors and determinants of life – threatening complications [ 4, 7].
Recognising the need for a more statistically robust instrument to investigate general food selection determinants, the research validates and confirms Food Choice Questionnaire (FCQ's) factorial design, develops ad hoc a more robust FCQ version and tests its ability to discriminate between consumer segments in terms of the importance they assign to the FCQ motivational factors.
