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To test further the possibility that certain combinations of variables from the full set of measured clinical and radiographic predictors might be clinically useful for diagnosing TB, we generated another prediction model using the Deletion/Substitution/Addition (DSA) routine.
Both of these more complex possibilities are consistent with some of our results, but not with the full set of results presented here.
Here's the full set of questions.
Full set of fixed effects is assumed.
A full set of armor.
Yes, we need full sets of data.
A batsman sees an ordered set of possibilities.
We can partition the set of possibilities, that is, form sets of possibilities that are mutually exclusive and jointly exhaustive.
It is the null set of possibilities.
Downtown felt wide open, full of possibilities.
Full of possibilities, but full of dangerous twists and turns.
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CEO of Professional Science Editing for Scientists @ prosciediting.com