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Is My Clinical Prediction Model Clinically Useful? A Primer on Decision Curve Analysis
Hendrik-Jan Mijderwijk1, Daan Nieboer2
1Department of Neurosurgery, Heinrich Heine University, Medical Faculty, Düsseldorf, Germany. Hendrik-Jan.Mijderwijk@med.uni-duesseldorf.de.
Abstract:
Decision curve analysis is an increasingly popular method to assess the impact of a prediction model on medical decision making. The analysis provides a graphical summary. A basic understanding of a decision curve is needed to interpret these graphics. This short introduction addresses the common features of a decision curve. Furthermore, using a glioblastoma patient set provided by the Machine Intelligence in Clinical Neuroscience Lab from the Department of Neurosurgery and Clinical Neuroscience Center, University Hospital Zurich a decision curve is plotted for two prediction models. The corresponding R code is provided.
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