Date: Mon, 19 May 2008 17:02:17 -0400
Reply-To: Ingrid <ikf@HOTMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Ingrid <ikf@HOTMAIL.COM>
Subject: GLIMMIX and model fitting
I am trying to work with glimmix to do a logistic regression. I was
planning on using both a random effect (id number) as well as a repeated
measures effect (time)...This does not converge with the smaller version
of the dataset. However, I can use either the random or the repeated. I
have good reasons to belive that each one might be better than the other -
but was looking for a statistical basis for my decision. I know that I
cannot use the pseudo-likelihood. However, the generalized chi-square/df
is not different, although the gen chi-square itself is different.
I know others have asked the same question, but no-one seems to have an
answer...how do I decide which effect is 'better'?