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    <title>topic Re: How would you model this outcome? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/386003#M20063</link>
    <description>&lt;P&gt;Are you counting &amp;lt;1 week as 0 weeks? If so, PROC FMM and PROC GENMOD can fit zero-inflated count models.such as ZIP and ZINB.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 07 Aug 2017 13:37:46 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2017-08-07T13:37:46Z</dc:date>
    <item>
      <title>How would you model this outcome?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/385952#M20062</link>
      <description>&lt;P&gt;I want to compare the mean/median of a variable X between 2 independent samples. Variable X is continuous, ranges from &amp;lt;1 week to 32 weeks. The problem is, I have increments of weeks (1, 2, 3, 7, ...32) and then 30% of the data which is &amp;lt;1 week. How should I model this variable, should I assign it a randome value like 0.5 weeks?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 06:42:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/385952#M20062</guid>
      <dc:creator>Melk</dc:creator>
      <dc:date>2017-08-07T06:42:56Z</dc:date>
    </item>
    <item>
      <title>Re: How would you model this outcome?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/386003#M20063</link>
      <description>&lt;P&gt;Are you counting &amp;lt;1 week as 0 weeks? If so, PROC FMM and PROC GENMOD can fit zero-inflated count models.such as ZIP and ZINB.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 13:37:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/386003#M20063</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2017-08-07T13:37:46Z</dc:date>
    </item>
    <item>
      <title>Re: How would you model this outcome?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/386663#M20130</link>
      <description>&lt;P&gt;It probably doesn't matter what value you assign to the &amp;lt;1 cases if you use a rank-based nonparametric test as are available in PROC NPAR1WAY.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 09 Aug 2017 14:48:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/386663#M20130</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2017-08-09T14:48:18Z</dc:date>
    </item>
    <item>
      <title>Re: How would you model this outcome?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/387171#M20161</link>
      <description>&lt;P&gt;Yes, this just occured to me too! Have just modelled it as 0 and used NP methods. Thank you all for your input.&lt;/P&gt;</description>
      <pubDate>Thu, 10 Aug 2017 19:41:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-would-you-model-this-outcome/m-p/387171#M20161</guid>
      <dc:creator>Melk</dc:creator>
      <dc:date>2017-08-10T19:41:50Z</dc:date>
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