plotAUC: Plot of time-dependent AUC curves

In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Plot of time-dependent AUC curves

Description

Plot of time-dependent AUC curves

Usage

plotAUC(
  x,
  models,
  which = "score",
  xlim,
  ylim,
  xlab,
  ylab,
  col,
  lwd,
  lty = 1,
  cex = 1,
  pch = 1,
  type = "l",
  axes = 1L,
  percent = 1L,
  conf.int = 0L,
  legend = 1L,
  ...
)

Arguments

x	Object obtained with Score.list
models	Choice of models to plot
which	Character. Either "score" to show AUC or "contrasts" to show differences between AUC.
xlim	Limits for x-axis
ylim	Limits for y-axis
xlab	Label for x-axis
ylab	Label for y-axis
col	line color
lwd	line width
lty	line style
cex	point size
pch	point style
type	line type
axes	Logical. If TRUE draw axes.
percent	Logical. If TRUE scale y-axis in percent.
conf.int	Logical. If TRUE draw confidence shadows.
legend	Logical. If TRUE draw legend.
...	Used for additional control of the subroutines: plot,

Examples

set.seed(9)
library(survival)
library(prodlim)
set.seed(10)
d=sampleData(100,outcome="survival")
nd=sampleData(100,outcome="survival")
f1=coxph(Surv(time,event)~X1+X6+X8,data=d,x=TRUE,y=TRUE)
f2=coxph(Surv(time,event)~X2+X5+X9,data=d,x=TRUE,y=TRUE)
xx=Score(list("X1+X6+X8"=f1,"X2+X5+X9"=f2), formula=Surv(time,event)~1,
data=nd, metrics="auc", null.model=FALSE, times=seq(3:10))
aucgraph <- plotAUC(xx)
plotAUC(xx,conf.int=TRUE)
## difference between
plotAUC(xx,which="contrasts",conf.int=TRUE)

riskRegression documentation built on Sept. 8, 2023, 6:12 p.m.