Dear all,
I am receiving the following error when trying to include both tt (time
transforms) and frailty terms in coxph
> coxph(Surv(time, status) ~ ph.ecog + tt(age)+cluster(sex), data=lung,
+ tt=function(x,t,...) pspline(x + t/365.25))
Error in residuals.coxph(fit2, type = "dfbeta", coll
I have a dataset with the variables:
idstart stop event tempdiff straling
The data contains recurrent event, so for each id more than one interval is
created
and more than one event can occur.
I have fitted the next model:
mod1 = coxph(Surv(start,stop,event) ~ tempdiff3 + straling3
With respect to Cox models + frailty, and post-fit survival curves.
1. There are two possible survival curves, the conditional curve where
we identify which center a subject comes from, and the marginal curve
where we have integrated out center and give survival for an
"unspecified" individual.
Hi R-users
I spend a lot of time searching on the web but I didn’t found a clear
answer.
I have some doubts with 'frailty' function of 'survival' package.
The following model with the function R ‘coxph’ was fitted:
modx <- coxph(Surv(to_stroke, stroke) ~ age + sbp + dbp + sex +
frailty(center,d
On Thu, Mar 10, 2011 at 6:33 AM, hongsheng wu wrote:
> Dear all,
>
> When I ran a frailty model like,
>
> model <- coxph(Surv(Day, Indicator) ~ trt + frailty(group,
> distribution="gaussian"))
>
> The variance of effect estimate of trt was estimated by conditional model or
> marginal model?
The f
Dear all,
When I ran a frailty model like,
model <- coxph(Surv(Day, Indicator) ~ trt + frailty(group,
distribution="gaussian"))
The variance of effect estimate of trt was estimated by conditional model or
marginal model?
Thanks.
Alex
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This is very possibly not a question on R.
I was under the impression that the argument that gives rise to Fisher's
LSD method in ANOVA works in other situations with three-way comparisons
too, given that formal logic works the same ("if the omnibus test rejects,
only two of the three groups may b
Hello,
I was hoping that someone could answer a few questions for me (the background
is given below):
1) Can the coxph accept an interaction between a covariate and a frailty term
2) If so, is it possible to
a) test the model in which the covariate and the frailty appear as main terms
using the
David wrote:
> Hi
> Which package(s) is R fit frailty models to univariate survival data, i.e.
> simple data with one survival time per person.
I haven't used it myself, but have a look at ?frailty in the survival
package.
--
Gad Abraham
Department of Mathematics and Statistics
The University
Hi
Which package(s) is R fit frailty models to univariate survival data, i.e.
simple data with one survival time per person.
David
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