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Test for sufficient follow-up

Source: R/sufficient_fu_test.R
sufficient_fu_test.Rd

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

n_n

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)
withr::local_seed(1234)
temp <- generate_cure_data(n = 100, j = 10, n_true = 10, a = 1.8)
training <- temp$training
km_fit <- survfit(Surv(Time, Censor) ~ 1, data = training)
sufficient_fu_test(km_fit)
#>        p_value n_n  N
#> 1 5.014767e-22  36 75