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Are Risk Stratification Tables the Best Way to Evaluate Model Performance?
- Holly Janes, PhD;
- Margaret S. Pepe, PhD; and
- Wen Gu, MS
- From Fred Hutchinson Cancer Research Center, Seattle, WA 98109, and University of Washington, Seattle, WA 98195.
IN RESPONSE:
We thank Drs. Stern and Smith for their thoughts on improving methods for the evaluation of risk prediction models. We agree wholeheartedly that the distribution of risks predicted by the risk prediction model is key for evaluating model performance. In the statistical literature, this has been called the predictiveness curve, and we have advocated strongly for its use (1, 2). In fact, the margins of a risk stratification table display exactly this: the population distribution …
