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Numbers of participants allocated to each group was clearly defined in all but three trials [ 26, 27, 69] whose data was not usable in the meta-analysis as attempts to contact the author were fruitless.
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First, many participants' data were not usable due to the lack of survivor function ordering that is necessary for SIC analyses.
However, we could not create an age stratum for 6 months to 6 years (corresponding to the defining ages of the febrile seizure), because monthly age data were not usable.
These data were not usable and were not included in the final results.
One child (E) had a medical implant that prevented her from participating in the MRI, and one child's (C) data were not usable due to too much movement artifact.
And the average law firm or established corporation may have millions of millions of contracts or other paperwork in its databases, but that data isn't usable as it's likely in a simple unlabeled PDF format.
One returned survey was not usable due to missing data, leaving an analytic sample of n = 9.
She added: "The collection was not usable".
Love that was not usable, that knew its place.
Any medical data are not directly usable to the 112 operators but rather forwarded to the medical personnel.
But as with other examples in the big data space, in many cases a lot of that data is not easily usable for non-technical people — traders being the specific people in question here.
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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