sufficient_fu_test: Test for sufficient follow-up

In hdcuremodels: Penalized Mixture Cure Models for High-Dimensional Data

Test for sufficient follow-up

Description

Tests for sufficient follow-up using a Kaplan-Meier fitted object.

Usage

sufficient_fu_test(object)

Arguments

object

a survfit object.

Value

p.value	p-value from testing the null hypothesis that there was not sufficient follow-up against the alternative that there was sufficient follow-up
Nn	total number of events that occurred at time > pmax(0, 2*(last observed event time)-(last observed time)) and < the last observed event time
N	number of observations in the dataset

References

Maller, R. A. and Zhou, X. (1996) Survival Analysis with Long-Term Survivors. John Wiley & Sons.

See Also

survfit, cure_estimate, nonzerocure_test

Examples

library(survival)
set.seed(1234)
temp <- generate_cure_data(N = 100, J = 10, nTrue = 10, A = 1.8)
training <- temp$Training
km.fit <- survfit(Surv(Time, Censor) ~ 1, data = training)
sufficient_fu_test(km.fit)

hdcuremodels documentation built on June 22, 2024, 10:17 a.m.