Gt: Gt
In SurvMetrics: Predictive Evaluation Metrics in Survival Analysis

Gt	R Documentation

Gt

Description

G(t)=P(C>t) denote the Kaplan-Meier estimate of the censoring distribution which is used to adjust for censoring. Gt is used to calculate G(t) at any timepoint you want.

Usage

Gt(object, timepoint)

Arguments

`object`	object of class `Surv` created by Surv function.
`timepoint`	any point in time you want to get the Kaplan–Meier estimate of the censoring.

Value

The Kaplan–Meier estimate of the censoring in (0,1).

Author(s)

Hanpu Zhou zhouhanpu@csu.edu.cn

References

Graf, Erika, Schmoor, Claudia, Sauerbrei, & Willi, et al. (1999). Assessment and comparison of prognostic classification schemes for survival data. Statist. Med., 18(1718), 2529-2545.

Kaplan, E. L. , & Meier, P. . (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53, 457-481.

Examples

library(survival)
time <- rexp(50)
status <- sample(c(0, 1), 50, replace = TRUE)
pre_sp <- runif(50)
timepoint <- runif(1)
Gt(Surv(time, status), timepoint)

SurvMetrics documentation built on April 4, 2025, 5:03 a.m.