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    <title>topic Re: Proc Phreg - calc s(t) in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143649#M1385</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Isn't this option only for bayesian model.&amp;nbsp; I am doing a classical model here.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 13 Mar 2014 20:35:32 GMT</pubDate>
    <dc:creator>dwitiyas</dc:creator>
    <dc:date>2014-03-13T20:35:32Z</dc:date>
    <item>
      <title>Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143647#M1383</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How do I calculated S(t) at a particular time t using proc phreg.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc phreg data = a.input;&lt;/P&gt;&lt;P&gt;model tenure * target (0) =a1 a2 a3/ selection = stepwise ties = efron;&lt;/P&gt;&lt;P&gt;baseline out = out1 covariates = sample survival = s;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I the above example if I pass&lt;STRONG&gt; covariates = sample&lt;/STRONG&gt; it gives me survival estimates for all possible values of t present in a.input. My datasets are very huge and I am getting memory error when I try to score. I need to calculated s(30) only for my dataset "&lt;STRONG&gt;sample&lt;/STRONG&gt;".&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 20:18:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143647#M1383</guid>
      <dc:creator>dwitiyas</dc:creator>
      <dc:date>2014-03-13T20:18:56Z</dc:date>
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    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143648#M1384</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Timelist option on the baseline statement. See the docs.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_phreg_sect008.htm" title="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_phreg_sect008.htm"&gt;SAS/STAT(R) 9.2 User's Guide, Second Edition&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 20:33:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143648#M1384</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2014-03-13T20:33:24Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143649#M1385</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Isn't this option only for bayesian model.&amp;nbsp; I am doing a classical model here.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 20:35:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143649#M1385</guid>
      <dc:creator>dwitiyas</dc:creator>
      <dc:date>2014-03-13T20:35:32Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143650#M1386</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If you run out of memory perhaps scoring by 'hand', a manual calculation in datastep?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 21:03:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143650#M1386</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2014-03-13T21:03:26Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143651#M1387</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Yes but I need help on this. I understand I can get Xbeta value and the baseline estimates. I need help with the formula to maunally calc it . My values are not matching with what sas provides.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 21:06:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143651#M1387</guid>
      <dc:creator>dwitiyas</dc:creator>
      <dc:date>2014-03-13T21:06:38Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143652#M1388</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I'm sure there's many ways to do that, but I don't feel like breaking out my stats book &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;How about breaking up your sample dataset and running the whole thing a few times via a macro. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 21:28:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143652#M1388</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2014-03-13T21:28:04Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Phreg - calc s(t)</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143653#M1389</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;That is what I am doing right now &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt; If I get the manual calc for survival estimates I would definitely go that way.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Mar 2014 21:30:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Phreg-calc-s-t/m-p/143653#M1389</guid>
      <dc:creator>dwitiyas</dc:creator>
      <dc:date>2014-03-13T21:30:36Z</dc:date>
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