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    <title>topic Survival Analysis Diagrams in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287365#M4275</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Unfortunately I am not a SAS Programmer, but use the Enterprise Miner diagrams along with the nodes. &amp;nbsp;I haven't been able to find any good demonstrations of the survival analysis nodes in use. &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a list of 20K folks that have retired, and 30k folks that are eligble to retire and want to predict when these eligibles will retire... &amp;nbsp;I have calculated in months how long those that retired worked after they were eligible to retire. &amp;nbsp;Althogh a good few leave on the first day eligible, we have thousands that continue working years and years after they are eligible to retire. &amp;nbsp;I am using months as the target, and in running a typical model, the best performing Auto Neural network doesn't give me good predictions on when each of these 30k will leave&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Anyone any examples/idea on how I can apply this through survival analysis? Or is there a better method?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;David.&lt;/P&gt;</description>
    <pubDate>Tue, 26 Jul 2016 22:52:27 GMT</pubDate>
    <dc:creator>dlakeland</dc:creator>
    <dc:date>2016-07-26T22:52:27Z</dc:date>
    <item>
      <title>Survival Analysis Diagrams</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287365#M4275</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Unfortunately I am not a SAS Programmer, but use the Enterprise Miner diagrams along with the nodes. &amp;nbsp;I haven't been able to find any good demonstrations of the survival analysis nodes in use. &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a list of 20K folks that have retired, and 30k folks that are eligble to retire and want to predict when these eligibles will retire... &amp;nbsp;I have calculated in months how long those that retired worked after they were eligible to retire. &amp;nbsp;Althogh a good few leave on the first day eligible, we have thousands that continue working years and years after they are eligible to retire. &amp;nbsp;I am using months as the target, and in running a typical model, the best performing Auto Neural network doesn't give me good predictions on when each of these 30k will leave&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Anyone any examples/idea on how I can apply this through survival analysis? Or is there a better method?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;David.&lt;/P&gt;</description>
      <pubDate>Tue, 26 Jul 2016 22:52:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287365#M4275</guid>
      <dc:creator>dlakeland</dc:creator>
      <dc:date>2016-07-26T22:52:27Z</dc:date>
    </item>
    <item>
      <title>Re: Survival Analysis Diagrams</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287409#M4276</link>
      <description>&lt;P&gt;Survival analysis through EM is probably overkill, Base SAS does a good job.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You our can try Proc Phreg and LIFEREG. You can also add a code node and try these in EM as well. It doesn't quite sound like survival data though IMO, can't see where the censoring is applicable. Censoring may not be required.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://www.sas.com/content/dam/SAS/en_ca/User%20Group%20Presentations/Regina-User-Group/Rothman-SurvivalEMFall14.pdf" target="_blank"&gt;http://www.sas.com/content/dam/SAS/en_ca/User%20Group%20Presentations/Regina-User-Group/Rothman-SurvivalEMFall14.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 27 Jul 2016 04:07:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287409#M4276</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-07-27T04:07:25Z</dc:date>
    </item>
    <item>
      <title>Re: Survival Analysis Diagrams</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287460#M4278</link>
      <description>&lt;P&gt;This tip might help you out:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Communities-Library/Survival-Data-Mining-by-Example-in-SAS-Enterprise-Miner/ta-p/231023" target="_self"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Survival-Data-Mining-by-Example-in-SAS-Enterprise-Miner/ta-p/231023&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It includes links to our GitHub repository that has example EM diagrams&amp;nbsp;(templates) using the Survival node and sample data that you can run to get an idea of how it works, as well as videos describing the survival data mining approach. &amp;nbsp;Since your goal is prediction, I think this might be a better approach than PHREG or LIFEREG. &amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 27 Jul 2016 12:58:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287460#M4278</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2016-07-27T12:58:44Z</dc:date>
    </item>
    <item>
      <title>Re: Survival Analysis Diagrams</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287530#M4284</link>
      <description>&lt;P&gt;Thank you both.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;David.&lt;/P&gt;</description>
      <pubDate>Wed, 27 Jul 2016 17:02:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Survival-Analysis-Diagrams/m-p/287530#M4284</guid>
      <dc:creator>dlakeland</dc:creator>
      <dc:date>2016-07-27T17:02:53Z</dc:date>
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