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    <title>topic Re: Testing for effect modification across race (4 strata) in Cox proportional model in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Testing-for-effect-modification-across-race-4-strata-in-Cox/m-p/268076#M14117</link>
    <description>&lt;P&gt;To add, I got this error message (log says&amp;nbsp;&lt;SPAN style="font-size: 12pt;"&gt;&amp;nbsp;P_CVSCORE in TEST statement test_proportionality is not a parameter in the model&lt;/SPAN&gt;) when I used this code:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;DIV&gt;proc phreg data = ABC;&lt;/DIV&gt;
&lt;DIV&gt;class p_cvscore race1c education salary ;&lt;/DIV&gt;
&lt;DIV&gt;model asthmatt*asthma(0) = p_cvscore &amp;nbsp;tp_cvscore /risklimit;&lt;/DIV&gt;
&lt;DIV&gt;tp_cvscore=p_cvscore*log(&lt;WBR /&gt;asthmatt);&lt;/DIV&gt;
&lt;DIV&gt;test_proportionality: test p_cvscore, tp_cvscore;&lt;/DIV&gt;
&lt;DIV&gt;run;&lt;/DIV&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 03 May 2016 20:37:06 GMT</pubDate>
    <dc:creator>sas_user4</dc:creator>
    <dc:date>2016-05-03T20:37:06Z</dc:date>
    <item>
      <title>Testing for effect modification across race (4 strata) in Cox proportional model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Testing-for-effect-modification-across-race-4-strata-in-Cox/m-p/268075#M14116</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I am running Cox regression and wanted to test effect modification across race (4 strata). This is the code I am using:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;DIV&gt;proc phreg data = ABC;&lt;/DIV&gt;
&lt;DIV&gt;model asthmatt*asthma(0) = p_cvscore&amp;nbsp; tp_cvscore/risklimit;&lt;BR /&gt;tp_cvscore=p_cvscore*log(&lt;WBR /&gt;asthmatt);&lt;BR /&gt;test_proportionality: test p_cvscore, tp_cvscore;&lt;/DIV&gt;
&lt;DIV&gt;run;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;Is testing for effect modification the same for proportionality assumption? I need explanation and if my code correct or wrong, please. Assuming the test is approriate in this case, what other options to use if the test of proportionality was sig? I mean what to do, what statistical solutions should I proceed with?&lt;/DIV&gt;
&lt;DIV&gt;Thanks,&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;</description>
      <pubDate>Tue, 03 May 2016 20:32:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Testing-for-effect-modification-across-race-4-strata-in-Cox/m-p/268075#M14116</guid>
      <dc:creator>sas_user4</dc:creator>
      <dc:date>2016-05-03T20:32:27Z</dc:date>
    </item>
    <item>
      <title>Re: Testing for effect modification across race (4 strata) in Cox proportional model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Testing-for-effect-modification-across-race-4-strata-in-Cox/m-p/268076#M14117</link>
      <description>&lt;P&gt;To add, I got this error message (log says&amp;nbsp;&lt;SPAN style="font-size: 12pt;"&gt;&amp;nbsp;P_CVSCORE in TEST statement test_proportionality is not a parameter in the model&lt;/SPAN&gt;) when I used this code:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;DIV&gt;proc phreg data = ABC;&lt;/DIV&gt;
&lt;DIV&gt;class p_cvscore race1c education salary ;&lt;/DIV&gt;
&lt;DIV&gt;model asthmatt*asthma(0) = p_cvscore &amp;nbsp;tp_cvscore /risklimit;&lt;/DIV&gt;
&lt;DIV&gt;tp_cvscore=p_cvscore*log(&lt;WBR /&gt;asthmatt);&lt;/DIV&gt;
&lt;DIV&gt;test_proportionality: test p_cvscore, tp_cvscore;&lt;/DIV&gt;
&lt;DIV&gt;run;&lt;/DIV&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 May 2016 20:37:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Testing-for-effect-modification-across-race-4-strata-in-Cox/m-p/268076#M14117</guid>
      <dc:creator>sas_user4</dc:creator>
      <dc:date>2016-05-03T20:37:06Z</dc:date>
    </item>
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