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    <title>topic Re: Interpreting regression estimates in PROC GENMOD with Tweedie distribution in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-regression-estimates-in-PROC-GENMOD-with-Tweedie/m-p/603479#M29324</link>
    <description>&lt;P&gt;Yes. I think so.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;log(Y&lt;/FONT&gt;&lt;FONT size="1 2 3 4 5 6 7"&gt;x+1&lt;/FONT&gt;&lt;FONT size="4"&gt;)-log(Y&lt;/FONT&gt;x&lt;FONT size="4"&gt;)=&lt;SPAN&gt;0.0017&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;=&amp;gt;&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;Y&lt;FONT size="1 2 3 4 5 6 7"&gt;x+1&lt;/FONT&gt;/Y&lt;FONT size="1 2 3 4 5 6 7"&gt;x&lt;/FONT&gt; = e^0.0017&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 12 Nov 2019 11:44:52 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2019-11-12T11:44:52Z</dc:date>
    <item>
      <title>Interpreting regression estimates in PROC GENMOD with Tweedie distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-regression-estimates-in-PROC-GENMOD-with-Tweedie/m-p/603412#M29323</link>
      <description>&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a question regarding the following PROC GENMOD example in the attached screenshot, using a Tweedie distribution &amp;amp; a log link, found in this SAS documentation:&amp;nbsp;&lt;A href="http://support.sas.com/kb/60/335.html" target="_blank"&gt;http://support.sas.com/kb/60/335.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question is: how would one go about interpreting the regression beta estimates?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Would it be similar to a regression with a log link? For example:&amp;nbsp;CrRuns yields an estimate of 0.0017, and so the interpretation would be something like "1 unit increase in CrRuns results in exp(0.0017) times the outcome variable salary"?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you again for your help.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="SAS Tweedie.JPG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/33851i7297F74507399643/image-size/large?v=v2&amp;amp;px=999" role="button" title="SAS Tweedie.JPG" alt="SAS Tweedie.JPG" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 12 Nov 2019 00:51:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-regression-estimates-in-PROC-GENMOD-with-Tweedie/m-p/603412#M29323</guid>
      <dc:creator>MigMaster12</dc:creator>
      <dc:date>2019-11-12T00:51:24Z</dc:date>
    </item>
    <item>
      <title>Re: Interpreting regression estimates in PROC GENMOD with Tweedie distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-regression-estimates-in-PROC-GENMOD-with-Tweedie/m-p/603479#M29324</link>
      <description>&lt;P&gt;Yes. I think so.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;log(Y&lt;/FONT&gt;&lt;FONT size="1 2 3 4 5 6 7"&gt;x+1&lt;/FONT&gt;&lt;FONT size="4"&gt;)-log(Y&lt;/FONT&gt;x&lt;FONT size="4"&gt;)=&lt;SPAN&gt;0.0017&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;=&amp;gt;&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;Y&lt;FONT size="1 2 3 4 5 6 7"&gt;x+1&lt;/FONT&gt;/Y&lt;FONT size="1 2 3 4 5 6 7"&gt;x&lt;/FONT&gt; = e^0.0017&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 12 Nov 2019 11:44:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-regression-estimates-in-PROC-GENMOD-with-Tweedie/m-p/603479#M29324</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-11-12T11:44:52Z</dc:date>
    </item>
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