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    <title>topic Re: Proc GLIMMIX - insufficient memory in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149301#M39416</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How many regions are involved?&amp;nbsp; Is it possible to consider it as a fixed effect? If not, I think the only way might be to look at separate analyses by region, and comparing interval estimates for the parameters.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 20 Mar 2014 12:13:24 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2014-03-20T12:13:24Z</dc:date>
    <item>
      <title>Proc GLIMMIX - insufficient memory</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149300#M39415</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I've never posted here before, but could really use some help.&amp;nbsp; I am using an 'events/trials' syntax within GLIMMIX to model a certain type of dental procedure out of that procedure plus another kind of dental procedure.&amp;nbsp; I have ~55,000 records for the analysis on which I'm currently working.&amp;nbsp; After I tackle this analysis, I will need to do another one on ~87,000.&amp;nbsp; There are multiple records per patients and nested random effects.&amp;nbsp; The nested random effects are ID within provider within facility within region.&amp;nbsp; I looked online for help which prompted me to sort by ID, and change text variables to numeric where possible.&amp;nbsp; For mostly everything I've tried, I've gotten the error that "SAS stopped processing&amp;nbsp; this step because of insufficient memory."&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I finally got this to run, but this doesn't include all of my random effects terms.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc glimmix data=test noclprint;&lt;/P&gt;&lt;P&gt;class facility race prserv_cat aa bb;&lt;/P&gt;&lt;P&gt;model x/y = race age gender aa bb cc dd ee ff gg hh ii jj kk ll mm nn oo/ddfm=bw dist=bin link=logit or cl;&lt;/P&gt;&lt;P&gt;random int / subject=ID;&lt;/P&gt;&lt;P&gt;nloptions tech=nrridg;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I tried the following but got the warning about insufficient memory:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc glimmix data=test coclprint;&lt;/P&gt;&lt;P&gt;class facility race prserv_cat aa bb;&lt;/P&gt;&lt;P&gt;model x/y=race age gender aa bb cc dd ee ff gg hh ii jj kk ll mm nn oo/ddfm=bw dist=bin link=logit or cl;&lt;/P&gt;&lt;P&gt;random int / subject=ID;&lt;/P&gt;&lt;P&gt;random int / subject=Provider;&lt;/P&gt;&lt;P&gt;random int / subject=facility;&lt;/P&gt;&lt;P&gt;random int / subject=region;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I also tried the same code as the prior procedure, but using the following random statments (this did not work either):&lt;/P&gt;&lt;P&gt;random int / subject=ID;&lt;/P&gt;&lt;P&gt;random int facility region*facility/subject=Provider;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you need more information, just let me know.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Any help would be greatly appreciated.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Michelle&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Mar 2014 18:33:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149300#M39415</guid>
      <dc:creator>Mbo</dc:creator>
      <dc:date>2014-03-19T18:33:51Z</dc:date>
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    <item>
      <title>Re: Proc GLIMMIX - insufficient memory</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149301#M39416</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How many regions are involved?&amp;nbsp; Is it possible to consider it as a fixed effect? If not, I think the only way might be to look at separate analyses by region, and comparing interval estimates for the parameters.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 20 Mar 2014 12:13:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149301#M39416</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-03-20T12:13:24Z</dc:date>
    </item>
    <item>
      <title>Re: Proc GLIMMIX - insufficient memory</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149302#M39417</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks so much for your response, Steve.&amp;nbsp; Unfortunately, there are about 21 regions, about 200 facilities, and over 2000 providers.&amp;nbsp; I'm being asked to run the regression and account for the nesting of patients within providers within facilities within regions. Because of that, I don't think I can consider region as a fixed effect.&amp;nbsp; Do you think this is possible?&amp;nbsp; If not, I'll have to tell my team that it is too much for SAS to handle.&amp;nbsp; What did you mean by looking at separate analyses by region, and comparing interval estimates for the parameters?&amp;nbsp; Can you be more specific? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Michelle&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 20 Mar 2014 16:38:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149302#M39417</guid>
      <dc:creator>Mbo</dc:creator>
      <dc:date>2014-03-20T16:38:29Z</dc:date>
    </item>
    <item>
      <title>Re: Proc GLIMMIX - insufficient memory</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149303#M39418</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Michelle,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If memory is insurmountable, and to me it appears it may be, given this much structure to the Z matrix, then the best you will be able to do is 21 separate regressions--one for each region, analyzed separately.&amp;nbsp; The interval estimates for the beta's will be more informative than the point estimates--you may find ways to lump regions together based on similarities, and thus perhaps render the problem tractable.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 20 Mar 2014 16:43:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149303#M39418</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-03-20T16:43:02Z</dc:date>
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    <item>
      <title>Re: Proc GLIMMIX - insufficient memory</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149304#M39419</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks so much, Steve.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 20 Mar 2014 17:01:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-GLIMMIX-insufficient-memory/m-p/149304#M39419</guid>
      <dc:creator>Mbo</dc:creator>
      <dc:date>2014-03-20T17:01:51Z</dc:date>
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