Description Usage Arguments Value Examples
Computes confidence intervals for a fitted tp.survtmle
object.
1 2 |
object |
An object of class |
parm |
A numeric vector indicating which indexes of |
level |
A |
... |
Other arguments. Not currently used. |
A list of matrices, each with columns giving the lower and upper confidence limits for each parameter. These will be labeled as (1-level)/2 and 1 - (1-level)/2 in percent. The default is 2.5 contains as many matrices as their are comparison groups in the input data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # simulate data
set.seed(1234)
n <- 100
ftime <- round(runif(n, 1, 4))
ftype <- round(runif(n, 0, 2))
trt <- rbinom(n, 1, 0.5)
adjustVars <- data.frame(W1 = rnorm(n), W2 = rnorm(n))
# fit a survtmle object
fit <- survtmle(ftime = ftime, ftype = ftype, trt = trt,
adjustVars = adjustVars, glm.trt = "W1 + W2",
glm.ftime = "trt + W1 + W2", glm.ctime = "trt + W1 + W2",
method = "mean", t0 = 4)
# extract cumulative incidence at each timepoint
tpfit <- timepoints(fit, times = seq_len(4))
# get confidence intervals
ci <- confint(tpfit)
ci
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