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    <title>topic Re: SAS two-part model in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722700#M35024</link>
    <description>...but perhaps a better, and more easily interpreted, model is the Tweedie model that can be fit in PROC GENMOD with the DIST=TWEEDIE option. The Tweedie distribution can model a nonnegative response with a mass at zero, so it  is often used to model cost when there can be a set of zero values. The output is much like an ordinary gamma model since it isn't a "two part" model.</description>
    <pubDate>Mon, 01 Mar 2021 21:07:51 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2021-03-01T21:07:51Z</dc:date>
    <item>
      <title>SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722594#M35018</link>
      <description>&lt;P&gt;Hello everyone,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;I am a new SAS user and I am using Medical Expenditure Panel Survey( MEPS) for my research. I have to use a Two-part model to study the impact of various independent variables on my dependent variable ( COST). Can someone please help me with the SAS SYNTAX for the two-part model.&lt;/P&gt;</description>
      <pubDate>Mon, 01 Mar 2021 14:59:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722594#M35018</guid>
      <dc:creator>uzma03505621</dc:creator>
      <dc:date>2021-03-01T14:59:42Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722677#M35019</link>
      <description>&lt;P&gt;I am unfamiliar with the term "two-part model".&amp;nbsp; Can you describe?&lt;/P&gt;</description>
      <pubDate>Mon, 01 Mar 2021 20:31:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722677#M35019</guid>
      <dc:creator>mkeintz</dc:creator>
      <dc:date>2021-03-01T20:31:55Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722686#M35020</link>
      <description>It's a statistical method used when the expenditure data is not normal I.e. it can be rightly skewed or with excess zero expenditures. So the first part involves a binary logit model to differentiate positive and zero expenditures and the second part of the model involves a glm model with gamma distribution and link function.&lt;BR /&gt;I'm attaching the link to the article I used as my reference :&lt;BR /&gt;&lt;A href="https://scholarworks.gvsu.edu/fsdg/556/" target="_blank"&gt;https://scholarworks.gvsu.edu/fsdg/556/&lt;/A&gt;</description>
      <pubDate>Mon, 01 Mar 2021 20:43:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722686#M35020</guid>
      <dc:creator>uzma03505621</dc:creator>
      <dc:date>2021-03-01T20:43:39Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722691#M35022</link>
      <description>&lt;P&gt;These are zero-inflation models which are in the class of finite mixture models as can be fit using PROC FMM. While there is some question of the appropriateness of doing this with a continuous distribution like gamma, the following code is an example with single predictor, G, and will provide a model fit and predicted values.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc fmm data=a plots=density(nbins=9);
   class g;
   model y = g / dist=gamma;
   model   +  / dist=constant;
   probmodel g;
   output out=fmmpred pred;
   run;
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Mon, 01 Mar 2021 20:54:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722691#M35022</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2021-03-01T20:54:34Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722695#M35023</link>
      <description>Can you share any source for me to interpret the output of this code?</description>
      <pubDate>Mon, 01 Mar 2021 21:00:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722695#M35023</guid>
      <dc:creator>uzma03505621</dc:creator>
      <dc:date>2021-03-01T21:00:51Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722700#M35024</link>
      <description>...but perhaps a better, and more easily interpreted, model is the Tweedie model that can be fit in PROC GENMOD with the DIST=TWEEDIE option. The Tweedie distribution can model a nonnegative response with a mass at zero, so it  is often used to model cost when there can be a set of zero values. The output is much like an ordinary gamma model since it isn't a "two part" model.</description>
      <pubDate>Mon, 01 Mar 2021 21:07:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/722700#M35024</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2021-03-01T21:07:51Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/723298#M35063</link>
      <description>&lt;P&gt;&lt;A href="https://go.documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.5&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_fmm_gettingstarted.htm&amp;amp;locale=en" target="_self"&gt;The Getting Started examples in the documentation&lt;/A&gt; often explain how to interpret the results.&lt;/P&gt;</description>
      <pubDate>Wed, 03 Mar 2021 21:58:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/723298#M35063</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2021-03-03T21:58:02Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/962082#M48207</link>
      <description>&lt;P&gt;I am also interested in building this kind of model. Could you please explain why there it might be inappropriate to build such models for continuous distributions in more detail? Thank you!&lt;/P&gt;</description>
      <pubDate>Tue, 18 Mar 2025 13:29:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/962082#M48207</guid>
      <dc:creator>Season</dc:creator>
      <dc:date>2025-03-18T13:29:07Z</dc:date>
    </item>
    <item>
      <title>Re: SAS two-part model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/962154#M48209</link>
      <description>&lt;P&gt;As &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13633"&gt;@StatDave&lt;/a&gt; said it is a zero-inflation model generally suited to COUNT data ,not a continous data.&lt;/P&gt;
&lt;P&gt;Check this brand-new session:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Communities-Library/Making-Zero-Inflation-Count/ta-p/962019/jump-to/first-unread-message" target="_blank"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Making-Zero-Inflation-Count/ta-p/962019/jump-to/first-unread-message&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 19 Mar 2025 01:24:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-two-part-model/m-p/962154#M48209</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2025-03-19T01:24:15Z</dc:date>
    </item>
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