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    <title>topic Re: Assess Statement in Proc Genmod. in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Assess-Statement-in-Proc-Genmod/m-p/658981#M31546</link>
    <description>&lt;P&gt;Well, the graph shows that the estimate is centered on zero, which is probably why the p value =1.&amp;nbsp; I suspect that there is a lack of variability in the response variable after accounting for the other main effects.&amp;nbsp; What sort of results (aside from the assess) do you see with a reduced model, where the only independent variable is prov_prac?&amp;nbsp; The slope estimate for the reduced model might shed some light on what is happening.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
    <pubDate>Mon, 15 Jun 2020 13:34:09 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2020-06-15T13:34:09Z</dc:date>
    <item>
      <title>Assess Statement in Proc Genmod.</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assess-Statement-in-Proc-Genmod/m-p/658401#M31542</link>
      <description>&lt;P&gt;I have run the following model in Proc Genmod:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;ods listing gpath="Y:\FES\Graphs";&lt;BR /&gt;ods graphics on/reset=index imagename="tangible";&lt;BR /&gt;proc genmod data=dist;&lt;BR /&gt;class famid;&lt;BR /&gt;model tar_depress_w2 = tar_depress_base &lt;BR /&gt;prov_prac par_prov_prac&lt;BR /&gt;/scale=pearson ; &lt;BR /&gt;repeated sub=famid;&lt;BR /&gt;assess var=(prov_prac) / resample=10000&lt;BR /&gt;seed=603708000 crpanel;&lt;BR /&gt;store tangible;&lt;BR /&gt;run;&lt;BR /&gt;ods graphics off;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For some variables I get a graph from the assess option that looks like the following:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Sanscrit_2prov_0-1592165048112.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/42927i089F25B6538187CA/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Sanscrit_2prov_0-1592165048112.png" alt="Sanscrit_2prov_0-1592165048112.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;For some variables I get a graph that is like those in the SAS documentation. But for this variable it seems like something is off.&lt;/P&gt;
&lt;P&gt;All the variables in my model are continuous. Also I am not sure why the p-value is 1 in the top left hand area of the graph.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 14 Jun 2020 20:08:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assess-Statement-in-Proc-Genmod/m-p/658401#M31542</guid>
      <dc:creator>Sanscrit_2prov</dc:creator>
      <dc:date>2020-06-14T20:08:12Z</dc:date>
    </item>
    <item>
      <title>Re: Assess Statement in Proc Genmod.</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assess-Statement-in-Proc-Genmod/m-p/658981#M31546</link>
      <description>&lt;P&gt;Well, the graph shows that the estimate is centered on zero, which is probably why the p value =1.&amp;nbsp; I suspect that there is a lack of variability in the response variable after accounting for the other main effects.&amp;nbsp; What sort of results (aside from the assess) do you see with a reduced model, where the only independent variable is prov_prac?&amp;nbsp; The slope estimate for the reduced model might shed some light on what is happening.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Mon, 15 Jun 2020 13:34:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assess-Statement-in-Proc-Genmod/m-p/658981#M31546</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-06-15T13:34:09Z</dc:date>
    </item>
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