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Re: st: Multilevel modelling of survival data


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Multilevel modelling of survival data
Date   Mon, 16 Mar 2009 09:48:53 +0000 (GMT)

--- On Mon, 16/3/09, Justin B Echouffo Tcheugui wrote:
> > I am trying to assess the effect of a preventive
> > intervention on mortality data in a cluster randomised
> > trial. The randomisation units were clinics in which
> > my patients are nested.  I am trying to assess the
> > efect of the intervention on mortality. 

--- On Mon, 16/3/09, Maarten buis wrote:
> -stcox- has already some multilevel models built-in in 
> the form of the -shared()- option. 

This is a common problem in statistics: The same concept
(in this case random effects) is reinvented several times
by several people in several contexts, and thus given
different names. The concept of random effects is, 
within the context of survival analysis, known as shared
frailty. This also explains the name of the -shared()- 
option. This model is similar to a random intercept model.

-- Maarten

-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://home.fsw.vu.nl/m.buis/
-----------------------------------------






      

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