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: \itemidpatient id \itemfudaysfollow-up days, number of days between registration and the earlier of death, transplantation, or study analysis time in July, 1986 \itemstatussurvival status \itemdrug1 = D-penicillamine, 2 = placebo \itemageage in days \itemsex0 = male, 1 = female \itemascitespresence of asictes: 0=no 1=yes \itemhepatompresence of hepatomegaly: 0=no 1=yes \itemspiderspresence of spiders: 0=no 1=yes \itemedemapresence 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 \itembiliserum bilirubin in mg/dl \itemcholserum cholesterol in mg/dl \itemalbuminalbumin in gm/dl \itemcopperurine copper in ug/day \itemalkphosalkaline phosphatase in U/liter \itemsgotSGOT in U/ml \itemtrigtriglicerides in mg/dl \itemplateletplatelets per cubic ml / 1000 \itemprotimeprothrombin time in seconds \itemstagehistologic 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]