pbc {risksetROC} | R Documentation |
Incident/Dynamic (I/D) ROC curve, AUC and integrated AUC (iAUC)
estimation of censored survival data
Description
This is Mayo PBC data as obtained from the website:
http://lib.stat.cmu.edu/datasets/pbc
Format
A data frame with 418 observations and 20 variables:
idpatient id
fudaysfollow-up days, number of days between registration and
the earlier of death, transplantation, or study analysis time in July,
1986
statussurvival status
drug1 = D-penicillamine, 2 = placebo
ageage in days
sex0 = male, 1 = female
ascitespresence of asictes: 0=no 1=yes
hepatompresence of hepatomegaly: 0=no 1=yes
spiderspresence of spiders: 0=no 1=yes
edemapresence of edema: 0=no edema and no diuretic therapy for edema;
.5 = edema present without diuretics, or edema resolved by diuretics;
1 = edema despite diuretic therapy
biliserum bilirubin in mg/dl
cholserum cholesterol in mg/dl
albuminalbumin in gm/dl
copperurine copper in ug/day
alkphosalkaline phosphatase in U/liter
sgotSGOT in U/ml
trigtriglicerides in mg/dl
plateletplatelets per cubic ml / 1000
protimeprothrombin time in seconds
stagehistologic stage of disease
Author(s)
Patrick J. Heagerty
References
Heagerty, P.J., Zheng Y. (2005)
Survival Model Predictive Accuracy and ROC curves
Biometrics, 61, 92 – 105
Examples
library(MASS)
data(VA)
## need to order the data in ascending order of survival time
new.VA=VA[order(VA$stime),]
risket.VA=riskset(new.VA)
[Package
risksetROC version 1.0.2
Index]