| survQuantile {lrstat} | R Documentation |
Brookmeyer-Crowley confidence interval for quantiles of right-censored time-to-event data
Description
Obtains the Brookmeyer-Crowley confidence interval for quantiles of right-censored time-to-event data.
Usage
survQuantile(
time = NA_real_,
event = NA_real_,
cilevel = 0.95,
transform = "loglog",
probs = c(0.25, 0.5, 0.75)
)
Arguments
time |
The vector of possibly right-censored survival times. |
event |
The vector of event indicators. |
cilevel |
The confidence interval level. Defaults to 0.95. |
transform |
The transformation of the survival function to use to construct the confidence interval. Options include "linear", "loglog", "log", "asinsqrt", and "logit". Defaults to "loglog". |
probs |
The vector of probabilities to calculate the quantiles. Defaults to c(0.25, 0.5, 0.75). |
Value
A data frame containing the estimated quantile and confidence interval corresponding to each specified probability. It includes the following variables:
-
prob: The probability to calculate the quantile. -
quantile: The estimated quantile. -
lower: The lower limit of the confidence interval. -
upper: The upper limit of the confidence interval. -
cilevel: The confidence interval level. -
transform: The transformation of the survival function to use to construct the confidence interval.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
survQuantile(
time = c(33.7, 3.9, 10.5, 5.4, 19.5, 23.8, 7.9, 16.9, 16.6,
33.7, 17.1, 7.9, 10.5, 38),
event = c(0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1),
probs = c(0.25, 0.5, 0.75))