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The ability of the variables to discriminate survivors from non-survivors was determined using ROC curves.
The ability of the variables to discriminate survivors from non-survivors was determined using ROC curves and a Net Reclassification Index (NRI).
The primary PLS models also revealed the ability of the variables to predict caries lesions as relates to type (decayed and filled) or localization (affected surfaces).
The ability of the variables to predict the presence of breast cancer was studied using univariate and multivariate unconditional logistic regression analyses.
In ROC curves constructed to compare the ability of the variables to discriminate two patient groups, MEGX displayed the greatest predictability of liver failure development in regard to lactate and pHi.
The little difference between the CDFs for the leave-one-tumour and leave-one-patient-out analyses, suggest that the ability of the variables identified to predict tumour response cannot easily be explained by the influence of patients with multiple tumours.
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Consequently, this limited the ability of the variable to form part of the logit model predictors, hence its omission from the analysis.
A strength of this approach was highlighted by the ability of the variable cluster analysis to group variables characterizing similar phenomena even with variables being calculated via different mathematical models and algorithms (Ancoli-Israel et al. 2003).
Again, we are interested in the ability of the (variable-dispersion) beta regression estimator to recover the average proportion/percentage/rate difference given our two sample design.
Multivariate discriminant analysis demonstrates the ability of the analytic variables to discriminate the vast majority of the melanocytic neoplasms, particularly when two-dimensional variables are included [ 47].
However, the ability of the physiological variables that were assessed in the present study to collectively explained the interindividual variability in endurance time to CET was modest, our regression model explaining only 25% of the variability in endurance time.
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