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    <title>topic Re: Multiple binary outcomes in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146123#M7657</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi ballardw,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In MANOVA (Multivariate Analysis of Variance) we can fit multiple dependent variables but they have to be continuous .&amp;nbsp; Here I am trying to model multiple (alcohol, smoking, drug)&amp;nbsp; binary (0/1) outcome with some set of predictors .&amp;nbsp; Proc Logistic can handle only one dependent variable.&amp;nbsp; I don't&amp;nbsp; know if there is multivariate counterpart of proc logistic.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is mock data.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;DATA;&lt;/P&gt;&lt;P&gt;INPUT ALCOHOL SMOKE DRUG&amp;nbsp; GENDER $&amp;nbsp; RACE&amp;nbsp;&amp;nbsp; $;&lt;/P&gt;&lt;P&gt;CARDS;&lt;/P&gt;&lt;P&gt;1&amp;nbsp; 0&amp;nbsp; 1&amp;nbsp; MALE&amp;nbsp;&amp;nbsp;&amp;nbsp; WHITE&lt;/P&gt;&lt;P&gt;0&amp;nbsp; 1&amp;nbsp; 0&amp;nbsp; FEMALE&amp;nbsp; HISPANIC&lt;/P&gt;&lt;P&gt;1&amp;nbsp; 0&amp;nbsp; 1&amp;nbsp; MALE&amp;nbsp;&amp;nbsp;&amp;nbsp; BLACK&lt;/P&gt;&lt;P&gt;...................&lt;/P&gt;&lt;P&gt;..................&lt;/P&gt;&lt;P&gt;..................&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;RUN;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks !!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 28 Oct 2014 18:36:51 GMT</pubDate>
    <dc:creator>kaushal2040</dc:creator>
    <dc:date>2014-10-28T18:36:51Z</dc:date>
    <item>
      <title>Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146121#M7655</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello Forum,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I was wondering if&amp;nbsp; there is way to model multiple binary outcomes in SAS?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks !!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 28 Oct 2014 16:29:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146121#M7655</guid>
      <dc:creator>kaushal2040</dc:creator>
      <dc:date>2014-10-28T16:29:08Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146122#M7656</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Your question is kind of sketchy. You may get more useable responses you provide some example data and what your are trying to do.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 28 Oct 2014 18:02:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146122#M7656</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2014-10-28T18:02:26Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146123#M7657</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi ballardw,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In MANOVA (Multivariate Analysis of Variance) we can fit multiple dependent variables but they have to be continuous .&amp;nbsp; Here I am trying to model multiple (alcohol, smoking, drug)&amp;nbsp; binary (0/1) outcome with some set of predictors .&amp;nbsp; Proc Logistic can handle only one dependent variable.&amp;nbsp; I don't&amp;nbsp; know if there is multivariate counterpart of proc logistic.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is mock data.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;DATA;&lt;/P&gt;&lt;P&gt;INPUT ALCOHOL SMOKE DRUG&amp;nbsp; GENDER $&amp;nbsp; RACE&amp;nbsp;&amp;nbsp; $;&lt;/P&gt;&lt;P&gt;CARDS;&lt;/P&gt;&lt;P&gt;1&amp;nbsp; 0&amp;nbsp; 1&amp;nbsp; MALE&amp;nbsp;&amp;nbsp;&amp;nbsp; WHITE&lt;/P&gt;&lt;P&gt;0&amp;nbsp; 1&amp;nbsp; 0&amp;nbsp; FEMALE&amp;nbsp; HISPANIC&lt;/P&gt;&lt;P&gt;1&amp;nbsp; 0&amp;nbsp; 1&amp;nbsp; MALE&amp;nbsp;&amp;nbsp;&amp;nbsp; BLACK&lt;/P&gt;&lt;P&gt;...................&lt;/P&gt;&lt;P&gt;..................&lt;/P&gt;&lt;P&gt;..................&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;RUN;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks !!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 28 Oct 2014 18:36:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146123#M7657</guid>
      <dc:creator>kaushal2040</dc:creator>
      <dc:date>2014-10-28T18:36:51Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146124#M7658</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;PROC CATMOD presents some possibilities. Start with Example 32.4 Log-Linear Model, Three Dependent Variables, and work up from there.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 29 Oct 2014 19:38:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146124#M7658</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-10-29T19:38:33Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146125#M7659</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;See the &lt;STRONG&gt;"&lt;/STRONG&gt;Multivariate logistic model" item the following note:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&amp;nbsp; &lt;/SPAN&gt;&lt;A class="jive-link-external-small" href="http://support.sas.com/kb/22871"&gt;http://support.sas.com/kb/22871&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Not quite the log-linear model that Steve mentioned, you could use CATMOD with the RESPONSE LOGITS; statement when specifying multiple response variables.&amp;nbsp; The note also mentions QLIM for the bivariate case.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 03 Nov 2014 19:24:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146125#M7659</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2014-11-03T19:24:22Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple binary outcomes</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146126#M7660</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks, SteveDenham and StatDave@sas&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Nov 2014 18:19:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-binary-outcomes/m-p/146126#M7660</guid>
      <dc:creator>kaushal2040</dc:creator>
      <dc:date>2014-11-04T18:19:22Z</dc:date>
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