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.
Original language | English |
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Title of host publication | Acta Neurochirurgica, Supplementum |
Publisher | Springer Science+Business Media |
Pages | 115-118 |
Number of pages | 4 |
Volume | 134 |
DOIs | |
Publication status | Published - 2022 |
Publication series
Series | Acta Neurochirurgica, Supplementum |
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Volume | 134 |
ISSN | 0065-1419 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.