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:

id
patient id
fudays
follow-up days, number of days between registration and the earlier of death, transplantation, or study analysis time in July, 1986
status
survival status
drug
1 = D-penicillamine, 2 = placebo
age
age in days
sex
0 = male, 1 = female
ascites
presence of asictes: 0=no 1=yes
hepatom
presence of hepatomegaly: 0=no 1=yes
spiders
presence of spiders: 0=no 1=yes
edema
presence 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
bili
serum bilirubin in mg/dl
chol
serum cholesterol in mg/dl
albumin
albumin in gm/dl
copper
urine copper in ug/day
alkphos
alkaline phosphatase in U/liter
sgot
SGOT in U/ml
trig
triglicerides in mg/dl
platelet
platelets per cubic ml / 1000
protime
prothrombin time in seconds
stage
histologic 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]