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    <title>topic Probit regressions in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250209#M13189</link>
    <description>&lt;DIV&gt;I have SAS University Edition and am working on probit regressions; I have no problems running an ordinary probit model.&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;But in order to test the marginal effects (and thus be able to interpret the coefficients), I have read online that one needs to use the PROC QLIM procedure.&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;However PROC QLIM is not possible to do with the University Edition.&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;Is there any alternative to using PROC QLIM to analyze the marginal effects that will work for SAS University Edition for a probit model?&lt;/DIV&gt;</description>
    <pubDate>Mon, 15 Feb 2016 23:21:45 GMT</pubDate>
    <dc:creator>buder</dc:creator>
    <dc:date>2016-02-15T23:21:45Z</dc:date>
    <item>
      <title>Probit regressions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250209#M13189</link>
      <description>&lt;DIV&gt;I have SAS University Edition and am working on probit regressions; I have no problems running an ordinary probit model.&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;But in order to test the marginal effects (and thus be able to interpret the coefficients), I have read online that one needs to use the PROC QLIM procedure.&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;However PROC QLIM is not possible to do with the University Edition.&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;Is there any alternative to using PROC QLIM to analyze the marginal effects that will work for SAS University Edition for a probit model?&lt;/DIV&gt;</description>
      <pubDate>Mon, 15 Feb 2016 23:21:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250209#M13189</guid>
      <dc:creator>buder</dc:creator>
      <dc:date>2016-02-15T23:21:45Z</dc:date>
    </item>
    <item>
      <title>Re: Probit regressions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250339#M13196</link>
      <description>&lt;P&gt;Try PROC GEE, with dist=binomial and link=probit options in the MODEL statement. &amp;nbsp;Try something like this example, setting link=probit.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_gee_examples04.htm" target="_self"&gt;http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_gee_examples04.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Steve Denham&lt;/P&gt;</description>
      <pubDate>Tue, 16 Feb 2016 14:52:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250339#M13196</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2016-02-16T14:52:33Z</dc:date>
    </item>
    <item>
      <title>Re: Probit regressions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250474#M13203</link>
      <description>&lt;P&gt;Thanks for the info.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I contacted SAS and they told me to set up SAS OnDemand.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I need to do both probit and tobit regressions in the future, so it will be a much easier solution to have the PROC QLIM function with SAS OnDemand from here on out.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Feb 2016 23:18:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/250474#M13203</guid>
      <dc:creator>buder</dc:creator>
      <dc:date>2016-02-16T23:18:40Z</dc:date>
    </item>
    <item>
      <title>Re: Probit regressions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/251226#M13259</link>
      <description>&lt;P&gt;you could do this by fitting the model in PROC NLMIXED and using the PREDICT statement. &amp;nbsp;see &lt;A href="http://support.sas.com/kb/22604" target="_self"&gt;this note&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Fri, 19 Feb 2016 18:17:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Probit-regressions/m-p/251226#M13259</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2016-02-19T18:17:08Z</dc:date>
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