km.est: Kaplan-Meier Estimates

In kimihua1995/adjKMtest:

Description

Estimate survival probabilities by standard KM method

Usage

km.est(y,delta,treat,treat.select,t)

Arguments

y	a numeric vector of observed time
delta	a factor vector of indicator for events
treat	a factor vector of indicator for treatment
treat.select	a numeric value of treatment selected for estimation, 1 for treatment group, 0 for control group
t	a numeric vector of time points for estimation

Value

A list containing the following components:

St	point estimates of survival probability (S(t)) at t
sd	standard deviation of survival probability (S(t)) at t

Examples

library(survival)
y <- as.matrix(gbsg$rfstime/(365.25/12))
treat <- data.matrix(gbsg$hormon)
delta <- as.matrix(gbsg$status)
t <- seq(0,80,2)

km.est(y=y,delta=delta,treat=treat,treat.select=1,t=t)

kimihua1995/adjKMtest documentation built on Jan. 1, 2021, 7:20 a.m.