be happy to provide valuable help on this list as
soon as my R-skills are advancing.
All the best
Philipp
Arthur Allignol wrote:
Hi,
In fact, you have left-truncated observations.
What timescale do you use, time 0 is the
study entry, or when the wear-part has been used for the
first time?
If
been
used for 5 years before study entry, and "dies" 2 years after,
the data will look like that:
start stop status
57 1
Hope this helps,
Arthur Allignol
Philipp Rappold wrote:
Dear friends,
I have used R for some time now and have a tricky question about the coxph-functi
I don't think there is a package to do that.
But you could have a look at ?predict.crr.
Best regards,
Arthur Allignol
Eleni Rapsomaniki wrote:
Dear R users
I would like to calculate the Cumulative incidence for an event
adjusting for competing risks and adjusting for covariates
You could try the prodlim package.
Best regards,
Arthur Allignol
On Fri, 27 Feb 2009 19:36:31 -
"Eleni Rapsomaniki" wrote:
>
> Dear R-users
>
> Has anybody implemented a function/package that will
> compute an individual's risk of an event in the presence
Hi,
See ?survfit.object
if fit is the object you get using survfit,
fit$surv will give you the survival probability.
Best,
arthur
Bernhard Reinhardt wrote:
Hi!
I came across R just a few days ago since I was looking for a toolbox
for cox-regression.
I´ve read
"Cox Proportional-Hazards Reg
Hi,
You could try to use the option xaxt = "n"
in plot.cuminc, instead of axes.
Hope that helps,
Arthur
Amy Krambrink wrote:
Dear R-help list members,
I am trying to create my own axes when plotting a cumulative incidence
curve using the plot.cuminc function in the CMPRSK library. The defa
Hi,
That will be difficult to help with
the little information you gave.
Please read the posting guide
and what's at the bottom of this
email.
Best regards,
Arthur Allignol
kende jan wrote:
Dear All,
I am trying to run the
following function (a CRR=Competing Risks
Regressionmodel
tions.
Best regards,
Arthur Allignol
Philippe Guardiola wrote:
Dear R users,
I d like to assess the effect of "treatment" covariate on a disease relapse risk with the package cmprsk.
However, the effect of this covariate on survival is time-dependent
(assessed with cox.zph): no sig
Dear all,
A new task view on survival analysis
is now online.
It attempts to deal with all the R-packages
that permit to analyze time-to-event data.
Any comments or suggestions to improve
the task view are very welcome.
Best regards,
Arthur Allignol
Freiburg Center for Data Analysis and
9 matches
Mail list logo