Construct Nomograms for Competing Risks Regression Models
Overview
Nomograms are constructed to predict the cumulative incidence rate which is calculated after adjusting for competing causes to the event of interest. K-fold cross-validation is implemented to validate predictive accuracy using a competing-risk version of the concordance index. Methods are as described in: Kattan MW, Heller G, Brennan MF (2003).
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- OK13 OK2026-08-05
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- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
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- 14
- Examples that run
- 100%13 run in a plain check
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- Return-value docs
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Previously maintained by Xinge Ji (2.2.0).
Package metadata
- First published
- 2021-11-05
- Total releases
- 4 / 5 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 34 KB / 1 file
- Download size
- 248 KB
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