Researchers report an explanation of why variables significantly associated with a particular outcome are not always accurate at predicting that outcome, and introduce a test statistic, the I-score, which correlates with the predictivity of a variable better than does the traditional p-value, and a variable selection method which yielded a comparatively low prediction error of 8% on a breast cancer genomic data set.
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