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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.
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].
Alternatively, the relationship between the response and predictor might be 'U'- or inverted 'U'-shaped, in which case the ANOVA analysis would be preferable (of course, a quadratic term could be added to the regression analysis or a nonlinear regression could be used, but these will not be considered further here).
Our goal was to provide a transparent example of the manner in which a genomics-based cancer predictor might be developed from training data and evaluated on independent test data with sufficient detail and documentation to allow the full process to be replicated by other researchers.
Besides, we found the specificities of the combined predictor are much higher than what were estimated from the previous independent testing (Table 1), indicating that the false-positive rate of the combined predictor might be over-estimated, and the previously selected threshold values might be too stringent for the combined predictor.
Similar(55)
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).
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.
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.
The proposed predictors might be an important step to increase the effectiveness of thyroid nodule diagnosis.
Therefore, joint analysis for multiple potential predictors might be a potentially useful method for diabetes screening.
To indentify the influencing factors or predictors might be important for outcome [ 7].
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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