Description Usage Arguments Value Author(s) See Also Examples
In survival analysis, often some quantiles (mainly the median) of an estimated cumulative incidence
function are of interest. This function computes quantiles of cumulative incidence functions received
via cuminc
in the package cmprsk.
1 | quantileCumInc(time, event, group, quant = 0.5)
|
time |
Event times, censored or observed. |
event |
Event indicator. |
group |
Quantiles can be computed for several survival curves, defined by |
quant |
Quantile to be computed. Real number in [0, 1]. |
Dataframe with quantiles estimates for each event-group combination.
Kaspar Rufibach
kaspar.rufibach@gmail.com
cuminc
and timepoint
in the package cmprsk.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | if (require("cmprsk")) {
## illustrate on simulated data
set.seed(1977)
n <- 180
time <- rgamma(n, 2, 1)
status <- factor(sample(rep(0:2, n / 3)), levels = 0:2, labels =
c("censored", "Time to 2nd tumor", "Death"))
x <- factor(round(runif(n, 1, 2)), levels = 1:2, labels =
c("Tmt A", "Tmt B"))
## plot
plot(cuminc(time, status, x))
## median time to event
quantileCumInc(time, status, group = x, quant = 0.25)
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.