EquiSurv (version 0.1.0)

confint_km_diff: Lower and upper confidence bounds for the difference of two Kaplan-Meier curves

Description

Function fitting Kaplan-Meier curves \(S_1\), \(S_2\) to two groups and yielding lower and upper (1-\(\alpha\))-confidence bounds for the difference \(S_1-S_2\) of these two curves at a specific time point by using Greenwood's formula.

Usage

confint_km_diff(alpha, t0, data_r, data_t, plot = TRUE)

Arguments

alpha

confidence level

t0

time point of interest

data_r, data_t

datasets containing time and status for each individual

plot

if TRUE, a plot of the two Kaplan Meier curves will be given

Value

A list containing the difference \(S_1(t_0)-S_2(t_0)\) and the lower and upper (1-\(\alpha\))-confidence bounds. Further a plot of the curves is given.

Examples

# NOT RUN {
data(veteran)
veteran_r <- veteran[veteran$trt==1,]
veteran_t <- veteran[veteran$trt==2,]
alpha<-0.05
t0<-80
confint_km_diff(alpha=alpha,t0=t0,data_r=veteran_r,data_t=veteran_t)
# }