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    <title>topic Covariance Parameter Estimates GENMOD? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Parameter-Estimates-GENMOD/m-p/812689#M40086</link>
    <description>&lt;P&gt;Is there a way to output the covariance parameter estimates in proc genmod in a similar way to the covtest statment in glimmix? I know I can output the working correlation structure. I prefer the method of moments method over likelihood based techniques for GEEs, hence why I am trying to use genmod.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;PROC GLIMMIX data = DATA 
class CLUSTER OUTCOME VAR1 VAR2;
model OUTCOME (event='1')= VAR1 VAR2
			/ dist=bin link=logit ;
RANDOM _residual_ / SUBJECT=CLUSTER TYPE=cs 
covtest '1'/ wald;
RUN;

PROC GENMOD data = DATA 
class CLUSTER OUTCOME VAR1 VAR2;
model OUTCOME (event='1')= VAR1 VAR2
			/ dist=bin link=logit;
REPEATED SUBJECT=CLUSTER /  TYPE=cs corrw ;
RUN;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Wed, 11 May 2022 15:28:44 GMT</pubDate>
    <dc:creator>JonKetchup</dc:creator>
    <dc:date>2022-05-11T15:28:44Z</dc:date>
    <item>
      <title>Covariance Parameter Estimates GENMOD?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Parameter-Estimates-GENMOD/m-p/812689#M40086</link>
      <description>&lt;P&gt;Is there a way to output the covariance parameter estimates in proc genmod in a similar way to the covtest statment in glimmix? I know I can output the working correlation structure. I prefer the method of moments method over likelihood based techniques for GEEs, hence why I am trying to use genmod.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;PROC GLIMMIX data = DATA 
class CLUSTER OUTCOME VAR1 VAR2;
model OUTCOME (event='1')= VAR1 VAR2
			/ dist=bin link=logit ;
RANDOM _residual_ / SUBJECT=CLUSTER TYPE=cs 
covtest '1'/ wald;
RUN;

PROC GENMOD data = DATA 
class CLUSTER OUTCOME VAR1 VAR2;
model OUTCOME (event='1')= VAR1 VAR2
			/ dist=bin link=logit;
REPEATED SUBJECT=CLUSTER /  TYPE=cs corrw ;
RUN;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 11 May 2022 15:28:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Parameter-Estimates-GENMOD/m-p/812689#M40086</guid>
      <dc:creator>JonKetchup</dc:creator>
      <dc:date>2022-05-11T15:28:44Z</dc:date>
    </item>
    <item>
      <title>Re: Covariance Parameter Estimates GENMOD?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Parameter-Estimates-GENMOD/m-p/812706#M40088</link>
      <description>No. GENMOD does not fit a random effects model so there are no random effects to estimate covariances for. As you note, GENMOD fits a Generalized Estimating Equations model and instead estimates a correlation matrix among the repeated measures. GEE is not a likelihood-based estimation method. The estimation method is outlined in the Details: Generalized Estimating Equations section of the GENMOD documentation.</description>
      <pubDate>Wed, 11 May 2022 16:43:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Parameter-Estimates-GENMOD/m-p/812706#M40088</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2022-05-11T16:43:24Z</dc:date>
    </item>
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