Are Risk Stratification Tables the Best Way to Evaluate Model Performance?

  1. Ralph H. Stern, PhD, MD; and
  2. Dean E. Smith, PhD
  1. From University of Michigan, Ann Arbor, MI 48109.

    TO THE EDITOR:

    Janes and colleagues (1) advocate using risk stratification tables, not the area under the receiver-operating characteristic (ROC) curve or c-statistic, and valuing models that assign a wide range of risks to individuals who were assigned a narrow range of risks by another model. A recent review of this topic (2) reached different conclusions.

    Simply providing a risk distribution curve (frequency vs. risk in the population) is a more informative way to present the …

    This 100-word excerpt has been provided in the absence of an abstract.

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