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In essence, if one accepts this assumption then the distribution of associated factors follows a tri-modal distribution and it will be intuitive to measure the level of association for different factors with respect to a given disease.
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Why should one accept this assumption?
Philosophically this might be a contested matter, and there could also be some variability in terms of which cultures tend to accept this assumption more so than others.
Those who don't accept this assumption should think of other examples where the semantic meanings of the alternative expressions form a linear chain with respect to inference.
Given the fact that at least one product species is missing accepting this assumption at face value could be highly misleading.
By accepting this assumption, we can infer certain crowd characteristics at a given location even if not every person is being tracked.
Those philosophers who accept this assumption see it (in the perceptual case) as providing the simplest, best explanation of the fact that hallucinations and veridical perceptions sometimes seem exactly alike to their subjects.
There is no evidence that this is so but for our purposes here, we can accept this assumption.
We do not accept this assumption because we do not consider MusiQoL to be a symptom-function measure.
However, the current WHO-TEF concept is based on the assumption that intakeREPs represent systemicREPs, but a full data set to reject or accept this assumption is lacking.
If we accept this assumption, then 81 of our 82 tumor samples were correctly classified based upon their gene expression signature.
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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