On the limitations of the area under the ROC curve for NTCP modelling
The area under the ROC curve (AUC) is commonly used as a measure for the discriminative performance of NTCP models. Here, we demonstrate that for typical patient cohorts, the AUC is an unsuitable measure for that purpose since it is typically limited to values below 0.8 and it exhibits large statist...
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| Main Authors: | , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
2020
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| In: |
Radiotherapy and oncology
Year: 2019, Volume: 144, Pages: 148-151 |
| ISSN: | 1879-0887 |
| DOI: | 10.1016/j.radonc.2019.11.018 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.radonc.2019.11.018 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0167814019334887 
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| Author Notes: | Emanuel Bahn, Markus Alber |
MARC
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| 520 | |a The area under the ROC curve (AUC) is commonly used as a measure for the discriminative performance of NTCP models. Here, we demonstrate that for typical patient cohorts, the AUC is an unsuitable measure for that purpose since it is typically limited to values below 0.8 and it exhibits large statistical variation. | ||
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