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    <title>topic Re: Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791589#M253582</link>
    <description>&lt;P&gt;You would be helping yourself in the long run by learning to find and use the actual SAS documentation for PROC SURVEYLOGISTIC and look at the LSMEANS commend.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In general, you can do an internet search via typing the following command&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc surveylogistic site:documentation.sas.com&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;Another helpful link is this one, which shows all SAS PROCs in alphabetical order&lt;/P&gt;
&lt;P&gt;&lt;A href="http://documentation.sas.com/?cdcId=pgmmvacdc&amp;amp;cdcVersion=9.4&amp;amp;docsetId=allprodsproc&amp;amp;docsetTarget=procedures.htm&amp;amp;locale=en" target="_blank"&gt;http://documentation.sas.com/?cdcId=pgmmvacdc&amp;amp;cdcVersion=9.4&amp;amp;docsetId=allprodsproc&amp;amp;docsetTarget=procedures.htm&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 21 Jan 2022 20:15:46 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2022-01-21T20:15:46Z</dc:date>
    <item>
      <title>Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791547#M253557</link>
      <description>&lt;P&gt;Hello, I have a logistic regression model with a binary outcome and for two of my categorical variables, I want to estimate contrasts for each pair of the levels (within each variable-one variable has three levels, the other variable has 4 levels). How may I do that without using LSMESTIMATE? Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jan 2022 18:08:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791547#M253557</guid>
      <dc:creator>Emma_at_SAS</dc:creator>
      <dc:date>2022-01-21T18:08:42Z</dc:date>
    </item>
    <item>
      <title>Re: Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791549#M253559</link>
      <description>&lt;P&gt;Use the LSMEANS command in PROC SURVEYLOGISTIC, with the LINES and LINESTABLE options.&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jan 2022 18:16:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791549#M253559</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-01-21T18:16:20Z</dc:date>
    </item>
    <item>
      <title>Re: Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791551#M253561</link>
      <description>&lt;P&gt;Thank you&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;May you please give me an example or document that I can learn how to do this? Thanks1&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jan 2022 18:17:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791551#M253561</guid>
      <dc:creator>Emma_at_SAS</dc:creator>
      <dc:date>2022-01-21T18:17:57Z</dc:date>
    </item>
    <item>
      <title>Re: Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791589#M253582</link>
      <description>&lt;P&gt;You would be helping yourself in the long run by learning to find and use the actual SAS documentation for PROC SURVEYLOGISTIC and look at the LSMEANS commend.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In general, you can do an internet search via typing the following command&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc surveylogistic site:documentation.sas.com&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;Another helpful link is this one, which shows all SAS PROCs in alphabetical order&lt;/P&gt;
&lt;P&gt;&lt;A href="http://documentation.sas.com/?cdcId=pgmmvacdc&amp;amp;cdcVersion=9.4&amp;amp;docsetId=allprodsproc&amp;amp;docsetTarget=procedures.htm&amp;amp;locale=en" target="_blank"&gt;http://documentation.sas.com/?cdcId=pgmmvacdc&amp;amp;cdcVersion=9.4&amp;amp;docsetId=allprodsproc&amp;amp;docsetTarget=procedures.htm&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jan 2022 20:15:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791589#M253582</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-01-21T20:15:46Z</dc:date>
    </item>
    <item>
      <title>Re: Testing all pairwise contrast for a categorial variable in PROC SURVEYLOGISTIC</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791635#M253609</link>
      <description>&lt;P&gt;Thank you&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;. Your suggestion for using LSMEANS worked very well&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 22 Jan 2022 13:36:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Testing-all-pairwise-contrast-for-a-categorial-variable-in-PROC/m-p/791635#M253609</guid>
      <dc:creator>Emma_at_SAS</dc:creator>
      <dc:date>2022-01-22T13:36:05Z</dc:date>
    </item>
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