| Date: | Tue, 23 Nov 2004 11:52:56 -0800 |
| Reply-To: | Neerav <neerav_monga@CAMH.NET> |
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
| From: | Neerav <neerav_monga@CAMH.NET> |
| Organization: | http://groups.google.com |
| Subject: | Re: Interpreting PROC LOGISTIC output: Odds Ratio Estimates |
| Content-Type: | text/plain; charset="iso-8859-1" |
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Peter & David,
Thank you for your remarks, I'm glad I was able to help fellow SAS
users out there. I am a biostatistician (Msc.) from University of
Toronto.
Peter: I agree that Koch's book is weak on interpretation and I
realized that you can use proc logistic for polytomous logistic
regression (even though they claim you can't specify a link
function=glogit, which is untrue as I have done this). Hosmer &
Lemeshow is a classic, I have the 1st edition (1989) but might be a
bit heavy on the theory side for some, but a great book nonetheless.
I use the online doc very frequently as it does contain a lot of syntax
on what options can be implemented. Something that isn't obvoius is
that sas 8.2 does in fact do exact logistic regression, although the
online doc for 8.2 doesn't mention it, you can find information on the
syntax and details in the SAS online doc verion 9 for some odd reason.
David: I agree, the units cannot be lost and it is nice that proc
logistic has a UNIT statement that allows us to specify how many units
we want the odds ratio in (eg. for 10 years instead of 1 year in my
example).
Bob: Happy to help, feel free to ask any follow up questions you may
have.
Cheers,
Neerav
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