survQuantile: Brookmeyer-Crowley Confidence Interval for Quantiles of...

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

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, [e-mail]

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))

lrstat documentation built on Oct. 18, 2024, 9:06 a.m.