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Typical predictors might be: the same number as last week (35); a mirror image around 50 of last week's attendance (65); a rounded-up average of the past four weeks' attendance (39); the same as two weeks ago (23).
However, the combination of two or more uncorrelated predictors might potentially become a strongly correlated variable (Castellano and Fanelli 2000).
In contrast, two or more highly correlated predictors might exacerbate a small change in the model, potentially increasing the error.
In terms of the theoretical, the pattern of relationships between our predictors and both accuracy and target-absent reaction time suggest that our predictors might be associated with an individual's low prevalence quitting threshold, hinting at a potential mechanism for the relationships.
Our analysis suggests that specific rice and Arabidopsis cTP predictors might yield higher true positive rates and could also provide better predictions for other sequenced monocotyledons (e.g. maize, sorghum) and dicotyledons (e.g. poplar, medicago, tomato).
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.
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The difference in the percentage of patients with a good predictor might affect the results of these trials about 2nd EGFR-TKI.
Nonetheless, comparison of receiver operating characteristic curves remains a useful descriptive tool for initial evaluation of whether a new predictor might be of clinical relevance.
Since parameter estimates are conditional on the model (Burnham and Anderson 2002; Lukacs et al. 2010), estimates for a particular predictor might change signs depending on whether or not a correlated predictor is included.
The authors suggested that, on the one hand, influences captured by the categorical predictor might reflect processes associated with the additional demands on cognitive control and/or working memory only for a carry operation.
Another predictor might be severity of ataxia at baseline, as suggested by the finding of Miyai and colleagues that patients with more severe ataxia had less sustained improvement by training [ 36].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com