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'sufficient empirical data' is correct and usable in written English.
You can use it when you need to emphasize the importance of having statistical evidence to back up a claim or argument. For example, "The researchers found sufficient empirical data to support their hypothesis."
Exact(8)
This result suggests that the Bayesian statistical models would be a better choice when software organizations/practitioners do not posses sufficient empirical data for the models' calibration.
However, we do not have sufficient empirical data to confirm this assumption.
This level-defining approach can also be applied to other criteria, whereas decisions should be carefully made, with sufficient empirical data support and theoretical grounding, because the development sequence of language proficiency is still unclear (Alderson 2007).
There is sufficient empirical data that communication skills can be taught with a special training.
In the absence of sufficient empirical data to generalise the relationship between host resistance and growth rate, this relationship is experimentally manipulated to explore associated coevolutionary dynamics.
To be included, reviewed articles were required to have sufficient empirical data for analysis (eg, conference proceedings were excluded), the educational intervention was required to include patient safety as core content and the study had to include an evaluation of the educational intervention.
Similar(52)
(c) To show that recognitional abilities are not sufficient either, Raymont cites empirical data "in support of the view that one can have the ability to noninferentially recognize a certain type of visual experience without ever having had it, and thus without knowing what it is like to have it".
Practical exploitation of heterogeneous transmission requires the sources of variability to be quantified, yet it is unusual to have empirical data of sufficient resolution to distinguish their effects.
Although molecular tools provide sufficient power in detecting genetic variation, empirical data on species delimitation are often difficult to interpret, since both gene introgression after speciation and shared ancestral polymorphisms can result in species paraphyly [ 15].
While multiple systems of drawing biogeographical boundaries have been proposed, empirical data have rarely been sufficient to test their rigor.
A factor analysis of the RIPLS revealed four item groupings (factors) for our empirical data, but only one had sufficient internal consistency.
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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