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    <title>topic Modeling residuals from GENMOD (link=logit, dist=binomial) in VARIOGRAM in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-residuals-from-GENMOD-link-logit-dist-binomial-in/m-p/31545#M1288</link>
    <description>Hello. I'm wondering if modeling the residual spatial structure for a binary response using these PROCs is "appropriate." Want to use Moran's I to test (under random assumption) for spatial autocorrelation in a binary response, modeled as a function of covariates + trend surface. Any thoughts would be appreciated. Cheers!</description>
    <pubDate>Wed, 16 Dec 2009 23:30:10 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2009-12-16T23:30:10Z</dc:date>
    <item>
      <title>Modeling residuals from GENMOD (link=logit, dist=binomial) in VARIOGRAM</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-residuals-from-GENMOD-link-logit-dist-binomial-in/m-p/31545#M1288</link>
      <description>Hello. I'm wondering if modeling the residual spatial structure for a binary response using these PROCs is "appropriate." Want to use Moran's I to test (under random assumption) for spatial autocorrelation in a binary response, modeled as a function of covariates + trend surface. Any thoughts would be appreciated. Cheers!</description>
      <pubDate>Wed, 16 Dec 2009 23:30:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Modeling-residuals-from-GENMOD-link-logit-dist-binomial-in/m-p/31545#M1288</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-12-16T23:30:10Z</dc:date>
    </item>
    <item>
      <title>Re: Modeling residuals from GENMOD (link=logit, dist=binomial) in VARIOGRAM</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-residuals-from-GENMOD-link-logit-dist-binomial-in/m-p/31546#M1289</link>
      <description>I would not use GENMOD for data which has a spatial covariance structure.  GENMOD does not have any spatial covariance structures to choose from.&lt;BR /&gt;
&lt;BR /&gt;
However, you could use the GLIMMIX procedure to model the residual covariance structure.  GLIMMIX fits models from the exponential family so it is appropriate for fitting a logistic regression for a binary response.  Also, the GLIMMIX procedure does allow a full set of spatial covariance structures.</description>
      <pubDate>Thu, 17 Dec 2009 21:01:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Modeling-residuals-from-GENMOD-link-logit-dist-binomial-in/m-p/31546#M1289</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2009-12-17T21:01:19Z</dc:date>
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