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Detailed description of the statistical strategies employed for variable selection is provided in the appendix (Appendix B). We performed analyses using SAS 9. Evaluating model performance Clinical prediction classifiers are commonly evaluated using a number of measures that quantify the models calibration and discrimination. The most important of these is that a classifier that tries to maximize the accuracy of its classification rule when predicting a rare outcome may obtain an accuracy of 99 just by classifying forex free signals forum observations as non-events, and model improvements (e.

as quantified by increases in forex free signals forum c statistic) are overshadowed by the large true negative rate.

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