Is My Clinical Prediction Model Clinically Useful?: A Primer on Decision Curve Analysis

Hendrik Jan Mijderwijk; Daan Nieboer

doi:10.1007/978-3-030-85292-4_15

Is My Clinical Prediction Model Clinically Useful? A Primer on Decision Curve Analysis

Hendrik Jan Mijderwijk^*, Daan Nieboer

^*Corresponding author for this work

Public Health

Research output: Chapter/Conference proceeding › Chapter › Academic

7 Citations (Scopus)

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
Title of host publication	Acta Neurochirurgica, Supplementum
Publisher	Springer Science+Business Media
Pages	115-118
Number of pages	4
Volume	134
DOIs	https://doi.org/10.1007/978-3-030-85292-4_15
Publication status	Published - 2022

Publication series

Series	Acta Neurochirurgica, Supplementum
Volume	134
ISSN	0065-1419

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-85292-4_15

Cite this

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