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    <title>topic Proc genmod - Response variable exponentially distributed in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70470#M3420</link>
    <description>Hi everyone,&lt;BR /&gt;
&lt;BR /&gt;
I am currently trying to fit a GLM using proc genmod and my response variable is exponentially distributed. I can't seem to find how to set this up since the exponential distribution is not among the options for dist.&lt;BR /&gt;
&lt;BR /&gt;
If it is not possible, I would like to ask then if it's possible to fix one of the parameters of a Gamma distribution so that I can fix the response variable distyribution as Gamma(1,mean). &lt;BR /&gt;
&lt;BR /&gt;
Does anyone have any suggestion about what to do when most of the data (supposedly continuous) has value 0?&lt;BR /&gt;
&lt;BR /&gt;
Thank you in advance</description>
    <pubDate>Thu, 10 Sep 2009 17:07:46 GMT</pubDate>
    <dc:creator>FranciscoB</dc:creator>
    <dc:date>2009-09-10T17:07:46Z</dc:date>
    <item>
      <title>Proc genmod - Response variable exponentially distributed</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70470#M3420</link>
      <description>Hi everyone,&lt;BR /&gt;
&lt;BR /&gt;
I am currently trying to fit a GLM using proc genmod and my response variable is exponentially distributed. I can't seem to find how to set this up since the exponential distribution is not among the options for dist.&lt;BR /&gt;
&lt;BR /&gt;
If it is not possible, I would like to ask then if it's possible to fix one of the parameters of a Gamma distribution so that I can fix the response variable distyribution as Gamma(1,mean). &lt;BR /&gt;
&lt;BR /&gt;
Does anyone have any suggestion about what to do when most of the data (supposedly continuous) has value 0?&lt;BR /&gt;
&lt;BR /&gt;
Thank you in advance</description>
      <pubDate>Thu, 10 Sep 2009 17:07:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70470#M3420</guid>
      <dc:creator>FranciscoB</dc:creator>
      <dc:date>2009-09-10T17:07:46Z</dc:date>
    </item>
    <item>
      <title>Re: Proc genmod - Response variable exponentially distributed</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70471#M3421</link>
      <description>Perhaps you want to use the LIFEREG procedure instead of PROC GENMOD.  The LIFEREG procedure allows specification on the MODEL statement that the distribution is exponential.&lt;BR /&gt;
&lt;BR /&gt;
Dale</description>
      <pubDate>Fri, 11 Sep 2009 20:35:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70471#M3421</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2009-09-11T20:35:38Z</dc:date>
    </item>
    <item>
      <title>Re: Proc genmod - Response variable exponentially distributed</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70472#M3422</link>
      <description>The exponential distribution is obtained when the scale parameter of the gamma distribution (nu in the GENMOD documentation) is 1.  So, you can fit a model to exponential data by simply adding the SCALE=1 and NOSCALE options in the MODEL statement.  The NOSCALE option keeps the scale parameter fixed at the SCALE=1 setting and gives you a Lagrange multiplier test of the nu=1 restriction.</description>
      <pubDate>Mon, 14 Sep 2009 19:30:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-genmod-Response-variable-exponentially-distributed/m-p/70472#M3422</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2009-09-14T19:30:44Z</dc:date>
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