On Apr 16, 2012, at 1:02 PM, robgriffin247 wrote:
actually, maybe I haven't quite solved this - the plot doesn't
appear to
include the 23 that are still alive at the end.
I have tried using a status variable (1 or 0 dependant upon
survival as in
page 800, roughly, in the R book)
...
Call
actually, maybe I haven't quite solved this - the plot doesn't appear to
include the 23 that are still alive at the end.
I have tried using a status variable (1 or 0 dependant upon survival as in
page 800, roughly, in the R book)
...
Call: survfit(formula = Surv(ssl$long, ssl$status) ~ ssl$sex)
Hi David thanks for the help, i was just looking back to say I have found my
solution (i think) and as you suggested survfit was the way to go.
my solution was this:
model<-survfit(Surv(a$longevity)~a$sex)
plot(model,ylab="proportion alive",xlab="time (days)",col=c("red","blue"))
--
View this mes
On Apr 16, 2012, at 10:24 AM, robgriffin247 wrote:
Hello
I'm trying to make survival curves for some longevity data -
100 males and 100 females, some of which are still living (not dead
at the
end of survey)
I would like to make sex specific survival curves as time on the X
axis,
proport
Hello
I'm trying to make survival curves for some longevity data -
100 males and 100 females, some of which are still living (not dead at the
end of survey)
I would like to make sex specific survival curves as time on the X axis,
proportion alive on the Y, and a line for each sex (two lines)
Dat
Hi,
I want to perform Survival curves for case and control subjects in
the propensity score-matched cohort that
accounted for the clustering of matched pairs. How I can do it with R.
Thanks for your help,
Jan
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At 14:50 12.05.2009, Terry Therneau wrote:
*I´m writing to ask you how can I do Survivals Curves using Time-dependent
*covariates? Which packages I need to Install?*
This is a very difficult problem
statistically. That is, there are not many
good ideas for what SHOULD be done. Hence, there
*I´m writing to ask you how can I do Survivals Curves using Time-dependent
*covariates? Which packages I need to Install?*
This is a very difficult problem statistically. That is, there are not many
good ideas for what SHOULD be done. Hence, there are no packages. Almost
everything you find
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