kaplanMeier_at_t0: Compute value of Kaplan-Meier estimate at a given time

In eventTrack: Event Prediction for Time-to-Event Endpoints

Compute value of Kaplan-Meier estimate at a given time

Description

Compute value of Kaplan-Meier estimate at a given time t_0.

Usage

kaplanMeier_at_t0(time, event, t0)

Arguments

time	Event times, censored or observed.
event	Censoring indicator, 1 for event, 0 for censored.
t0	Vector (or single number) of time points to compute confidence interval for.

Value

Matrix with values of Kaplan-Meier estimate at t_0.

Author(s)

Kaspar Rufibach (maintainer)
[e-mail]

Examples

# use Acute Myelogenous Leukemia survival data contained in package 'survival'
time <- leukemia[, 1]
status <- leukemia[, 2]

tmp <- Surv(time, status) ~ 1
plot(survfit(tmp, conf.type = "none"), mark = "/", col = 1:2)
kaplanMeier_at_t0(time, status, t0 = c(10, 25, 50))

eventTrack documentation built on April 4, 2025, 2:34 a.m.