How about when your endpoint is stroke incidence, your purpose is to
identify risk factors or rather quantify their association with the endpoint
and it is, say, a 40-year follow up of middle aged individuals. Over 40
years many will die from other causes, free of stroke, but the stroke risk
associated with their risk profile has not accounted for.
By the way, I purchased your book three months ago and have enjoyed reading
it and keep getting back to it. I have several ideas how that could be
expanded or intensified, so to speak, but then you may have not intended to
go into all the depths of epidemiological analysis in a book probably meant
to be introductory.
(my stata knowledge lags way behind my epidemiology and the book was
helpful...)
Uri
-------------------------
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Svend Juul
Sent: Wednesday, August 01, 2007 3:15 AM
To: [email protected]
Subject: Re: st: associating mortality with potential prdeictors when the
rate is high
Uri G wrote:
When a follow up on a cohort reveals that, say, 70% have
experienced an endpoint, the use of most survival models
(DH cox's etc) is unreliable (failure to consider competing
risks aside).
Does stata have programs using more appropriate models?
-----------------------------------------------------------
What makes you believe that most survival models are
unreliable in this situation? Could you give a reference
(complete, please!)
Svend
__________________________________________
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000 Aarhus C, Denmark
Phone: +45 8942 6090
Home: +45 8693 7796
Email: [email protected]
__________________________________________
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