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However, there is no a priori reason to expect that this failure to detect orthologues for 'fast-clock' genes should be biased towards any particular animal super-phylum, since each super-phylum contains 'slow clock' as well as 'fast clock' lineages.
4– 6 Consequently, these series most frequently present highly biased findings retrieved from super-selected cohorts: it is only the superfit onco-geriatric patient that reaches surgical theater.
I should say up front that I'm super-biased here, even by the debased standards of media writing about media.
*Disclosure: I'm super-biased because I now work at TechCrunch and these conferences pay my bills, and occasionally my bar tab.
And Holden Caulfield himself, in my undoubtedly super-biased opinion, is essentially unactable.
However, in the presence of highly infectious individuals, i.e. super-spreaders, the use of any model that is linear in susceptibility and infectiousness causes biased estimates.
was biased.
Coverage is undoubtedly biased.
"It's inherently biased".
Very biased.
The idea behind super learning is to optimize the prediction performances, accepting the fact that we do not know anything about the true shape of the underlying data distribution, so that every kind of parametric regression model would be biased.
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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