mayo: Mayo Marker Data
In cenROC: Estimating Time-Dependent ROC Curve and AUC for Censored Data
mayo R Documentation
Mayo Marker Data
Description
Two marker values with event time and censoring status for the subjects in Mayo PBC data.
Usage
data(mayo)
Format
A data frame with 312 observations and 4 variables: time (event time/censoring time), censor (censoring
indicator), mayoscore4, mayoscore5. The two scores are derived from 4 and 5 covariates
respectively.
References
Heagerty, P. J., and Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics, 61(1), 92-105.
cenROC documentation built on March 31, 2023, 5:19 p.m.
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| mayo | R Documentation |
Mayo Marker Data
Description
Two marker values with event time and censoring status for the subjects in Mayo PBC data.
Usage
data(mayo)
Format
A data frame with 312 observations and 4 variables: time (event time/censoring time), censor (censoring indicator), mayoscore4, mayoscore5. The two scores are derived from 4 and 5 covariates respectively.
References
Heagerty, P. J., and Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics, 61(1), 92-105.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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