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"obscure results" is a correct and usable expression in written English.
It is used to describe results that are difficult to understand or interpret. For example, "The research yielded some obscure results that were hard to analyze."
Exact(12)
Phone calls to the hospital's Infectious Disease Department and administrative offices produced similarly obscure results.
Alternatively, while searching the literature you may find that your bizarre (and frankly unbelievable) discovery is already in print, appearing in, say, the Journal of Obscure Results (1984).
Sometimes, health researchers deliberately bury or obscure results -- and the data behind them -- when they don't support desired treatments or policies.
There is a risk that misclassifications obscure results.
However, such studies have, at best, returned very obscure results.
This could obscure results of an experiment to test neural necessity in grooming because the entire population would not be inhibited through expression of neural inhibitors.
Similar(48)
In addition, the limited size of racial/ethnic sub-populations within the non-Hispanic group precluded further stratification of this group; as such, genetic heterogeneity among non-Hispanics might have obscured results.
A possible limitation of this study is the wide inclusion criteria and no a priori-definition of the degree of school absenteeism necessary to fulfil the diagnostic criteria, which might have obscured results applying to a subgroup only.
A final point is that the limited size of certain racial/ethnic sub-populations among non-Hispanics precluded further stratification of this group; therefore, heterogeneity among non-Hispanics might have obscured results.
The limited size of racial/ethnic sub-populations within the non-Hispanic group precluded further stratification of this group; as such, genetic heterogeneity within this group might have obscured results.
Some of the coarse-scale networks that were detected with ICA contained features that would either contribute to a radial or tangential connectivity bias, and this may have obscured results in the initial analysis… The fluctuations within these (radial/tangential) networks were, however, filtered from the data in the second analysis, which may have attenuated the observed effect".
Related(20)
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Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com