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    <title>topic Re: Interaction visualization in PROC LOGISTIC in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354620#M18575</link>
    <description>&lt;P&gt;Thank you, so this plots the probabilities for 2 of my predictors but fixes the value for my 3rd. I want to compare across all 3 somehow..&lt;/P&gt;</description>
    <pubDate>Fri, 28 Apr 2017 21:51:31 GMT</pubDate>
    <dc:creator>LucyB</dc:creator>
    <dc:date>2017-04-28T21:51:31Z</dc:date>
    <item>
      <title>Interaction visualization in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354573#M18572</link>
      <description>&lt;DIV class="post-text"&gt;&lt;P&gt;I am running a proc logistic and am looking specifically at a 3 way interaction. Here is some descriptives on my data:&lt;/P&gt;&lt;P&gt;Outcome: mortality (y/n)&lt;/P&gt;&lt;P&gt;Var 1: gender (M/F)&lt;/P&gt;&lt;P&gt;Var 2: dichotomous lab value (above/ below certain critical cutoff- y/n)&lt;/P&gt;&lt;P&gt;Var 3: second dichotomous lab value (above/ below certain critical cutoff- y/n)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am looking to see who is more at risk for the mortality outcome and have included an interaction for these terms in the model. My interaction p-value is not significant, but I want to report directions. Since I have 3 dichotomous variables, what would be the best way to present this (preferably graphically) in regards to who is more likely to experience mortality?&lt;/P&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 28 Apr 2017 19:24:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354573#M18572</guid>
      <dc:creator>LucyB</dc:creator>
      <dc:date>2017-04-28T19:24:33Z</dc:date>
    </item>
    <item>
      <title>Re: Interaction visualization in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354586#M18574</link>
      <description>&lt;P&gt;You can probably use&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;effectplot interaction;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;as documented here&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_logistic_sect009.htm&amp;nbsp;" target="_blank"&gt;https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_logistic_sect009.htm&amp;nbsp;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Apr 2017 19:59:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354586#M18574</guid>
      <dc:creator>PeterClemmensen</dc:creator>
      <dc:date>2017-04-28T19:59:04Z</dc:date>
    </item>
    <item>
      <title>Re: Interaction visualization in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354620#M18575</link>
      <description>&lt;P&gt;Thank you, so this plots the probabilities for 2 of my predictors but fixes the value for my 3rd. I want to compare across all 3 somehow..&lt;/P&gt;</description>
      <pubDate>Fri, 28 Apr 2017 21:51:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354620#M18575</guid>
      <dc:creator>LucyB</dc:creator>
      <dc:date>2017-04-28T21:51:31Z</dc:date>
    </item>
    <item>
      <title>Re: Interaction visualization in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354651#M18576</link>
      <description>&lt;P&gt;Look at the article &lt;A href="http://blogs.sas.com/content/iml/2017/04/24/two-way-anova-viz.html" target="_self"&gt;"Visualize an ANOVA with two-way interactions"&lt;/A&gt;&amp;nbsp;and see if you can figure out how to extend it to your three binary variables. You will end up with 6 &amp;nbsp;box plots.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 29 Apr 2017 01:02:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354651#M18576</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2017-04-29T01:02:53Z</dc:date>
    </item>
    <item>
      <title>Re: Interaction visualization in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354669#M18577</link>
      <description>&lt;PRE&gt;
Also check

effectplot  fitslice /  sliceby=  plotby= ;



&lt;/PRE&gt;</description>
      <pubDate>Sat, 29 Apr 2017 03:28:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interaction-visualization-in-PROC-LOGISTIC/m-p/354669#M18577</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-04-29T03:28:03Z</dc:date>
    </item>
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