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

Description Usage Arguments Details Author(s) References Examples

Description

This function creates Kaplan-Meier plot.

Usage

1
KM.plot(Stime, survival, max.T=NULL, lty=NULL, all=TRUE, ...) 

Arguments

Stime

unique ordered event times

survival

estimates of survival probabilities at Stime

max.T

maximum time to be considered for plotting, default is NULL which plots survival till max(Stime)+1 units

lty

line type

all

TRUE or FALSE, default is TRUE

...

additional plot arguments

Details

This function creates Kaplan-Meier plot. If all=TRUE, then this creates a new plot. If all=FALSE, it adds line to an existing plot and hence must be called after a plot() or similar call.

Author(s)

Patrick J. Heagerty

References

Heagerty, P.J., Zheng Y. (2005) Survival Model Predictive Accuracy and ROC curves Biometrics, 61, 92 – 105

Examples

1
2
3
4
5
6
7
8
data(pbc)
## considering only randomized patients
pbc1 <- pbc[1:312,]
## create new censoring variable combine 0,1 as 0, 2 as 1
survival.status <- ifelse( pbc1$status==2, 1, 0)
survival.time <- pbc1$fudays
kout <- weightedKM(Stime=survival.time, status=survival.status)
KM.plot(kout$time,kout$survival)


Search within the risksetROC package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.