Oh no!
I'm so sorry about the mistake. I was too quick firing off my emails this
morning.
My apologies to the list members.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of hind sbihi
Sent: Monday, March 16, 2009 11:40 AM
To: [email protected]
Subject: RE: st: Multilevel modelling of survival data
Murray,
Val nous attendra a son bureau a 13h45.
A+
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Justin B Echouffo
Tcheugui
Sent: Monday, March 16, 2009 9:17 AM
To: [email protected]
Subject: RE: st: Multilevel modelling of survival data
Dear Marteen,
I tried the command stcox with the option -shared () as you advised. As
you can see below I am not having the desired output
xi: stcox i.randomgp, shared(clinic)
i.randomgp _Irandomgp_0-1 (naturally coded; _Irandomgp_0 omitted)
failure _d: event
analysis time _t: followup_time
Fitting comparison Cox model:
Estimating frailty variance:
numerical derivatives are approximate flat or discontinuous region
encountered
Iteration 0: log profile likelihood = -2482.4152
could not calculate numerical derivatives flat or discontinuous region
encountered r (430);
I tried adding the option - difficult, hoping that it will help but it
did not
xi: stcox i.randomgp, shared(practice) difficult
i.randomgp _Irandomgp_0-1 (naturally coded; _Irandomgp_0
omitted)
failure _d: event
analysis time _t: followup_time
Fitting comparison Cox model:
Estimating frailty variance:
numerical derivatives are approximate flat or discontinuous region
encountered
Iteration 0: log profile likelihood = -2482.4152
could not calculate numerical derivatives flat or discontinuous region
encountered r(430);
Could you please advise on this?
Many thanks
Justin B.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Maarten buis
Sent: 16 March 2009 10:58
To: stata list
Subject: RE: st: Multilevel modelling of survival data
--- On Mon, 16/3/09, Justin B Echouffo Tcheugui wrote:
> > in this case the option - cluster() in this case does
> > not fit the clinic into the model as a random
> > intercept
--- On Mon, 16/3/09, Maarten buis wrote:
> That is correct.
A point on terminology again: When discussing the
distrinction between these models, the models estimated
with the -cluster()- option are sometimes known as
population averaged models, while the random intercept
models are sometimes known as individual specific models.
-- 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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