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    <title>topic Interpreting PHREG frailty results in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-PHREG-frailty-results/m-p/889752#M44106</link>
    <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am struggling to understand when, using proc phreg to produce a frailty model, one would use the "unadjusted" p-value vs. the adjusted. See, e.g.,&amp;nbsp;&lt;A href="https://documentation.sas.com/doc/en/statcdc/14.2/statug/statug_phreg_examples11.htm" target="_blank"&gt;https://documentation.sas.com/doc/en/statcdc/14.2/statug/statug_phreg_examples11.htm&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Output 86.11.6. In this example, the adjusted p-values are cited in the text. However, I compared proc phreg frailty model results those produced from the survival package in R, and the results were closer to those from the "unadjusted" p-value. I understand that the adjusted p-value is just the Wald test with df adjusted using the Wald Adjustment, and I've studied Therneau and Grambsch (2000) and the formula for the Wald Adjustment, but from a practical point of view,&amp;nbsp; I can't figure out why the Wald Adjustment is necessary, particularly since the R output is more similar to the unadjusted case.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Can someone explain the practical value to using the adjusted p-value? For those with experience fitting a frailty model, which result have you used when you do have a large frailty REML estimate?&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 17 Aug 2023 21:39:14 GMT</pubDate>
    <dc:creator>knallen</dc:creator>
    <dc:date>2023-08-17T21:39:14Z</dc:date>
    <item>
      <title>Interpreting PHREG frailty results</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-PHREG-frailty-results/m-p/889752#M44106</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am struggling to understand when, using proc phreg to produce a frailty model, one would use the "unadjusted" p-value vs. the adjusted. See, e.g.,&amp;nbsp;&lt;A href="https://documentation.sas.com/doc/en/statcdc/14.2/statug/statug_phreg_examples11.htm" target="_blank"&gt;https://documentation.sas.com/doc/en/statcdc/14.2/statug/statug_phreg_examples11.htm&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Output 86.11.6. In this example, the adjusted p-values are cited in the text. However, I compared proc phreg frailty model results those produced from the survival package in R, and the results were closer to those from the "unadjusted" p-value. I understand that the adjusted p-value is just the Wald test with df adjusted using the Wald Adjustment, and I've studied Therneau and Grambsch (2000) and the formula for the Wald Adjustment, but from a practical point of view,&amp;nbsp; I can't figure out why the Wald Adjustment is necessary, particularly since the R output is more similar to the unadjusted case.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Can someone explain the practical value to using the adjusted p-value? For those with experience fitting a frailty model, which result have you used when you do have a large frailty REML estimate?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 17 Aug 2023 21:39:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interpreting-PHREG-frailty-results/m-p/889752#M44106</guid>
      <dc:creator>knallen</dc:creator>
      <dc:date>2023-08-17T21:39:14Z</dc:date>
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