TY - CHAP
T1 - Is My Clinical Prediction Model Clinically Useful?
T2 - A Primer on Decision Curve Analysis
AU - Mijderwijk, Hendrik Jan
AU - Nieboer, Daan
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021/12/4
Y1 - 2021/12/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85120886547&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-85292-4_15
DO - 10.1007/978-3-030-85292-4_15
M3 - Chapter
AN - SCOPUS:85120886547
T3 - Acta Neurochirurgica, Supplementum
SP - 115
EP - 118
BT - Acta Neurochirurgica, Supplementum
ER -