Calculate and Plot Decision Curve
Overview
Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes but often require collection of additional information and may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a suitable method for evaluating alternative diagnostic and prognostic strategies that has advantages over other commonly used measures and techniques. This method was described by Andrew J. Vickers (2006) doi:10.1177/0272989X06295361.
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- Help pages citing references
- 17%
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- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-04-24issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.12020-09-06 · diff ↗
- 1.02020-08-24
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-08-24
- Total releases
- 2 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 8.4 KB / 1 file
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