wkmQuantile: wkmQuantile

In mbrueckner/AHR: Estimation and Testing of Average Hazard Ratios

Description

Estimate arbitrary quantiles of a survival distribution based on the (weighted) Kaplan-Meier

Usage

wkmQuantile(tau, formula, data, conf.level = 0.95, null.value = NULL,
  rr.subset = rep(TRUE, nrow(data)))

Arguments

tau	number between 0 and 1 specifiying the quantile to estimate
formula	an object of class '"formula"' specifying the conditional survival model
data	data frame containing the variables in formula
conf.level	confidence level (or NULL if no confidence interval should be calculated)
null.value	true value of quantile or NULL if no p-value should be calculated
rr.subset	logical vector defining subset of observations to use for response rate estimation (default: use all observations)

Value

An object of class '"survQuantile"'

References

brookmeyer_confidence_1982

Examples

T <- c(rexp(100, 1), rexp(100, 2))
C <- c(rexp(100, 1), rexp(100, 2))
Y <- pmin(T, C)
D <- T <= C
Z <- rep(c(0,1), c(100, 100))
wkmQuantile(0.5, Surv(Y, D) ~ strata(Z), data.frame(Y=Y, D=D, Z=Z))

mbrueckner/AHR documentation built on May 22, 2019, 12:57 p.m.