Hello everyone,
This is just a quick double check. It concerns the 'scatterplot function' in
R.
I have 6 curves and I wish to represent each of them by a different kind of
line (their colour must be black).
The curves are derived from the cuminc function...the coordinates of which are
in '
Hello everyone,
These are some questions about the 'pec' function in R. These questions deal
with prediction error curves and their derivation. Prediction error curves are
documented in, for example, "Efron-type measures of prediction error for
survival analysis" by Gerds and Schumacher.
I h
Hello everyone - sorry, I forgot to add the syntax for my program in the last
message:
My syntax is as follows:
>library(Hmisc)
> library(survival)
> library(pec)
> AL<-read.table("PredErr2.txt",header=TRUE)
> Models<-list("Kaplan.Meier"=survfit(Surv(OVS,dead)~1,data=AL),"EBMT+SN
> Pgroup"=co
Hello everyone,
(This is my second question posted today on the R list).
I am carrying out a competing risks analysis using the cuminc function...this
takes the form:
cuminc(ftime,fstatus,group)
In my study, fstatus has 3 different causes of failure (1,2,3) there are also
censored cases (0).
Dear everyone,
My question involves the use of the survival object.
We can have
Surv(time,time2,event, type=, origin = 0)
(1)
As detailed on p.65 of:
http://cran.r-project.org/web/packages/survival/survival.pdf
My data (used in my study) is 'right ce
Hello everyone,
I am a very new user of R and I have a query about the cuminc function
in the package cmprsk. In particular I would like to verify that I am
interpreting the output correctly when we have a stratification
variable.
Hypothetical example:
group : fair hair, dark hair
fstatus: 1
Hello everyone.
This is a question regarding generation of the concordance index (c
index) in R using the function rcorr.cens. In particular about
interpretation of its direction and form of the 'predictor'.
One of the arguments is a "numeric predictor variable" ( presumably
this is just a *si
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