Nothing
library(rsurv)
kappa <- c(0.25, 0.5, -1.1)
n <- 1000
# generating the set of explanatory variables:
simdata <- data.frame(
trt = sample(c("A", "B"), size = n, replace = TRUE),
age = rnorm(n)
)
# generating the data set:
v <- inv_pgf(
~ trt + age,
incidence = poisson("log"),
kappa = kappa,
data = simdata
)
simdata <- simdata |>
mutate(
t = qexp(v, rate = 1, lower.tail = FALSE),
c = rexp(n, rate = 1)
) |>
rowwise() |>
mutate(
time = min(t, c),
status = as.numeric(time == t)
) |>
select(-c(t, c))
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