plot_tdROC_cr: Plot the time-dependent ROC curve with competing risk

In tdROC: Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks

Plot the time-dependent ROC curve with competing risk

Description

This function reads in object returned by tdROC.cr() and plot ROC curve for it.

Usage

plot_tdROC_cr(
  x,
  lwd = 2,
  xlab = "1-specificity",
  ylab = "sensitivity",
  xlim = c(0, 1),
  ylim = c(0, 1),
  col = c("red", "blue"),
  main = "ROC curve",
  abline = T,
  ...
)

Arguments

x	the object returned by tdROC.cr().
lwd	user-specified line width. Default is 2.
xlab	user-specified label for x-axis. Default is "1-specificity".
ylab	user-specified label for y-axis. Default is "sensitivity".
xlim	user-specified limit for x axis. Default is c(0,1).
ylim	user-specified limit for y axis. Default is c(0,1).
col	user-specified color for ROC curve. Defualt is "c("red", "blue")" for the primary event and competing event.
main	user-specified title for the plot. Default is "ROC curve"
abline	user-specified reference diagnol line. Default is True.
...	for future methods

Value

Returns several plots of ROC curve. For competing risk data, there are two definitions of controls introduced by Zheng et al, which was listed below

\text{Definition A:} \text{Case} k:T \le \tau, \delta = k; \text{Control}_A: (T>\tau)\cup (T \le \tau \cap \delta \ne k)

\text{Definition B:} \text{Case} k:T \le \tau, \delta = k; \text{Control}_B: (T>\tau)

For more details about above two definitions, please read details of function tdROC.cr. If the tdROC.cr object comes without bootstrap result, the ROC curve for above two definitions will be plotted together and indicated by the specified col. If the tdROC.cr object with bootstrap result, one more ROC curve with confidence interval will be plotted for each definition.

References

Zheng Y, Cai T, Jin Y, Feng Z. Evaluating prognostic accuracy of biomarkers under competing risk. Biometrics. 2012;68(2):388-396. doi:10.1111/j.1541-0420.2011.01671.x

Examples

library(survival)
data(Melano)
tdROC.cr_res <- tdROC.cr(
  X = Melano$thick, Y = Melano$time,
  delta = Melano$status, tau = 1800, nboot = 10
)
plot_tdROC_cr(tdROC.cr_res)

tdROC documentation built on May 29, 2024, 3:47 a.m.