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None of these models is perfect and all have margins of error, but together, they indicate a race that either candidate could win.
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If risk models were perfect, there would be no need for a leverage ratio, "but they are not", says Mr Hildebrand.
However, none of these models are perfect.
None of the numerical models are perfect, and the representation of interaction among components depends on the GCMs.
Thus the models were perfect for structural annotation.
For example, uncertainty in the choice of models is usually limited to a finite set of models, but rarely would any of these models be perfect.
No animal models are perfect, and current rodent models of type 2 diabetes have been associated with a number of drawbacks (comprehensively reviewed by Bugger and Abel [ 7]).
"The model is perfect".
No model is perfect, and of course the election is three months away.
No model is perfect, but some things probably benefit from applying a more formal and rigorous structure.
No model is perfect: but instead of pointing the finger, trying to learn from the experience of other countries is the way to find solutions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com