|Date: ||Wed, 3 Nov 1999 22:47:35 GMT|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|Organization: ||Deja.com - Before you buy.|
|Subject: ||Proc GENMOD and Memory Requirements|
Help- I seem to be having a perplexing problem.
I need to run a GEE model but it crashes in under 25 seconds due to an
apparent lack of memory.
Why am I perplexed? Because:
1) this is a small subset of the data ( less than 200,000 observations)
2) when the same model has an additional nested variable added to the
subject-effect line (i.e. repeated subject=MD(new variable) it
doesn`t crash. Go figure.
Here's the log:
159 proc genmod data=two;
160 class MD ;
161 model x=a b c;
162 repeated subject=MD;
NOTE: The scale parameter was estimated by maximum likelihood.
NOTE: The SAS System stopped processing this step because of
NOTE: At least one W.D format was too small for the number to be
printed. The decimal may be
shifted by the "BEST" format.
NOTE: The PROCEDURE GENMOD used 24.78 seconds.
I am using a powerful NT machine with at least 11 free GB of space and
128MB ram. How can one calculate the memory necessary for such models?
Is there a formula or a rough guide?
If the un-nested model crashes and the more complicated nested one does
not, do you think maybe I should be skeptical vis à vis the nested
Thanks in advance for your input,
Division of Clinical Epidemiology
Royal Victoria Hospital,
Physical Health Unit
Régie régional de la santé publique
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