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    <title>topic Re: Proc PHREG: final model with different variables when different model selection methods were used in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205277#M11032</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;PRE __jive_macro_name="quote" class="jive_text_macro jive_macro_quote" modifiedtitle="true"&gt;
&lt;P&gt;xinjian wrote:&lt;/P&gt;
&lt;P&gt;&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;Is it possible with different variables in the final model because using different model selection methods? Which method I should use?&lt;/SPAN&gt;&lt;/P&gt;
&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Yes, its possible. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There is no one method that should be used, in fact using the automated selection methods without applying business logic isn't a good method in general.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 18 Mar 2015 21:03:56 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2015-03-18T21:03:56Z</dc:date>
    <item>
      <title>Proc PHREG: final model with different variables when different model selection methods were used</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205276#M11031</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dear All,&lt;/P&gt;&lt;P&gt;I used PROC PHREG to do Cox proportional hazards regression. I got 5 variables in the model with back ward elimination. I got 3 variables of the model when I use forward or stepwise model selection methods. Is it possible with different variables in the final model because using different model selection methods? Which method I should use?&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Xinjian&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 18 Mar 2015 20:58:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205276#M11031</guid>
      <dc:creator>xinjian</dc:creator>
      <dc:date>2015-03-18T20:58:24Z</dc:date>
    </item>
    <item>
      <title>Re: Proc PHREG: final model with different variables when different model selection methods were used</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205277#M11032</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;PRE __jive_macro_name="quote" class="jive_text_macro jive_macro_quote" modifiedtitle="true"&gt;
&lt;P&gt;xinjian wrote:&lt;/P&gt;
&lt;P&gt;&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;Is it possible with different variables in the final model because using different model selection methods? Which method I should use?&lt;/SPAN&gt;&lt;/P&gt;
&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Yes, its possible. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There is no one method that should be used, in fact using the automated selection methods without applying business logic isn't a good method in general.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 18 Mar 2015 21:03:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205277#M11032</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-03-18T21:03:56Z</dc:date>
    </item>
    <item>
      <title>Re: Proc PHREG: final model with different variables when different model selection methods were used</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205278#M11033</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Reeza,&lt;/P&gt;&lt;P&gt;Thanks for your quick response. I used univariate cox regression (proc phreg) to select variables (if p&amp;lt;0.25). I got 9 variables. Then I run proc phreg with different model selection methods to find final model if p&amp;lt;0.05. So what is the best way to select final COX model?&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Xinjian&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 18 Mar 2015 21:22:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-PHREG-final-model-with-different-variables-when-different/m-p/205278#M11033</guid>
      <dc:creator>xinjian</dc:creator>
      <dc:date>2015-03-18T21:22:52Z</dc:date>
    </item>
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