riskset: Incident/Dynamic (I/D) ROC curve, AUC and integrated AUC...

In risksetROC: Riskset ROC Curve Estimation from Censored Survival Data

Incident/Dynamic (I/D) ROC curve, AUC and integrated AUC (iAUC) estimation of censored survival data

Description

This function creates risk set at each unique failure time from a survival data set.

Usage

riskset(dat, entry=FALSE)

Arguments

dat	survival dataset with at least three variables: survival.times, survival.status and marker, in that order. The survival data set may have additional variables. In case of interval censored data, the first four columns are: entry time, exit time, status at exit and marker
entry	default is FALSE indicating right censored data. TRUE if left truncated data

Details

This function creates risk set at each unique failure time from a survival data set and is needed for llCoxReg(). The function can handle both right censored and interval censored data.

Value

Returns a new data set with columns as follows: start, finish, newStatus and other variables from the original dataset except survival time and status. The first two columns correspond to the start and end of time intervals considered and the newStatus corresponds to the survival status of the patient corresponding to this interval, i.e. the status is 1 if the patient had event during this interval (start, finish] and 0 otherwise. Note that the survival time need to be in ascending order.

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)

risksetROC documentation built on June 13, 2022, 9:05 a.m.