quantile.prodlim: Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

In prodlim: Product-Limit Estimation for Censored Event History Analysis

Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

Description

Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

Usage

## S3 method for class 'prodlim'
quantile(x, q, cause = 1, ...)

Arguments

x	Object of class "prodlim".
q	Quantiles. Vector of values between 0 and 1.
cause	For competing risks the cause of interest.
...	not used

Author(s)

Thomas Alexander Gerds <[e-mail]>

Examples

library(lava)
set.seed(1)
d=SimSurv(30)

# Quantiles of the potential followup time
g=prodlim(Hist(time,status)~1,data=d,reverse=TRUE)
quantile(g)

# survival time
f=prodlim(Hist(time,status)~1,data=d)
f1=prodlim(Hist(time,status)~X1,data=d)
# default: median and IQR
quantile(f)
quantile(f1)
# median alone
quantile(f,.5)
quantile(f1,.5)

# competing risks
set.seed(3)
dd = SimCompRisk(30)
ff=prodlim(Hist(time,event)~1,data=dd)
ff1=prodlim(Hist(time,event)~X1,data=dd)
## default: median and IQR
quantile(ff)
quantile(ff1)

print(quantile(ff1),na.val="NA")
print(quantile(ff1),na.val="Not reached")

prodlim documentation built on Aug. 28, 2023, 5:07 p.m.