TwoSSPicens: Create an ROC curve for survival data from clinical trials.

In SandraCastroPearson/2SPcurves: A Package for the Analysis of Time to Event Outcomes Using Two-Sample Probability Curves

Create an ROC curve for survival data from clinical trials.

Description

This function creates ROC curve for survival data from clinical trials and calculates the area under the curve.

Usage

TwoSSPicens(
  left,
  right,
  group,
  iterations,
  end_follow,
  checkPH = FALSE,
  checkPO = FALSE,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  cex.axis = 1.5,
  cex.lab = 1.5,
  legend.inset = 0.02,
  legend.cex = 1.5,
  lty = c(1, 2, 3),
  lwd = 1.5
)

Arguments

left	Time at the left of the interval (L,R]
right	Time at the right of the interval (L,R]
group	An indicator vector with values of 1 if the the participant was in the treatment arm and 0 otherwise.
iterations	Number of maximum iterations for the EM algorithm. Default is 1000.
end_follow	A numeric value indicating the end of study follow-up. Default is the largest value for right.
checkPH	Logical argument to indicate if user wants to compare the nonparametric curve with the curve based on the proportional hazards model (default is FALSE).
checkPO	Logical argument to indicate if user wants to compare the nonparametric curve with the curve based on the proportional odds model (default is FALSE).
xlab	String argument for the horizontal axis label of the curve.
ylab	String argument for the vertical axis label of the curve.
main	String argument for the title of the curve.
cex.axis	Optional graphical parameter for magnification of axis annotation. See par for more details.
cex.lab	Optional graphical parameter for magnification of x and y labels. See par for more details.
legend.inset	Optional graphical parameter controling legend inset.
legend.cex	Optional graphical parameter for magnification of a legend's text.
lty	Optional graphical parameter to set the type of lines to use. Can be a number or a vector. See par for more details.
lwd	Optional graphical parameter for line width relative to the default. See par for more details.

Value

A plot of the ROC curve and an ROCsurv object containing:

• Data frame with the estimated survival curves.

• icsurv object from application of EM to the control group data.

• icsurv object from application of EM to the treated group data.

SandraCastroPearson/2SPcurves documentation built on June 15, 2022, 3:42 a.m.