Message-ID: <1321736930234-4087199.post@n4.nabble.com>
Date: 2011-11-19T21:08:50Z
From: Frank E Harrell Jr
Subject: the standard error of the quantile
In-Reply-To: <1321716246602-4086512.post@n4.nabble.com>
Then see the latter part of my note. I think also that, at least for the
median, the survival package will compute it more quickly for inclusion in a
bootstrap loop. Note that you forgot to state require(survival) or
library(survival) below.
Frank
swatch110362 wrote:
>
> Thanks for your help.
> But I need to estimator the standard error of the quantile in "survival
> analysis", because my data is censored.
> For example~
>
>
> T<-c(84,240,261,332,348,437,521,565)
> S<-c(0,1,1,0,1,0,1,0) ##0 for censoed; 1 for event
> G<-rep(1,8)
>
> ori_s.surv<-survfit(Surv(T,S)~G)
>
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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