check out the coxme and the kinship packages, both have the capability to fit
the Cox proportional hazard model in a multi-level setting, or you could use
glmer in lme4 to fit discrete-time (logistic) models with random intercepts.
CS
-
Corey Sparks, PhD
Assistant Professor
Department of Demo
On Thu, Jul 22, 2010 at 8:23 AM, Christopher David Desjardins
wrote:
> * Please cc me if you reply as I am a digest subscriber *
>
> Hi,
> I am wondering how I can run a multilevel survival model in R? Below is
> some of my data.
>
>> head(bi0.test)
> childid famid lifedxm sex age delta
* Please cc me if you reply as I am a digest subscriber *
Hi,
I am wondering how I can run a multilevel survival model in R? Below is
some of my data.
> head(bi0.test)
childid famid lifedxm sex age delta
1 22.0222 CONTROL MALES 21.36893 0
2 13.0213 MAJOR MALES 21.
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