Interpreting incremental value of markers added to risk prediction models.

  title={Interpreting incremental value of markers added to risk prediction models.},
  author={Michael J. Pencina and Ralph B. D'Agostino and Karol M. Pencina and A Cecile J W Janssens and Philip Greenland},
  journal={American journal of epidemiology},
  volume={176 6},
The discrimination of a risk prediction model measures that model's ability to distinguish between subjects with and without events. The area under the receiver operating characteristic curve (AUC) is a popular measure of discrimination. However, the AUC has recently been criticized for its insensitivity in model comparisons in which the baseline model has performed well. Thus, 2 other measures have been proposed to capture improvement in discrimination for nested models: the integrated… CONTINUE READING
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