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    <title>topic Re: Post-hoc power analysis for Cox regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-analysis-for-Cox-regression/m-p/913693#M45359</link>
    <description>&lt;P&gt;Proc Power is intended to do pre-study planning, not post hoc power analysis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;From the online help:&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;DIV class="xis-refProc"&gt;
&lt;DIV id="statug.power.powoverview" class="AAsection"&gt;
&lt;DIV class="xis-title"&gt;
&lt;DIV&gt;
&lt;DIV&gt;
&lt;H2 class="xis-title"&gt;Overview: &lt;FONT style="background-color: #fcdec0;"&gt;POWER&lt;/FONT&gt; Procedure&lt;/H2&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;FONT style="background-color: #fcdec0;"&gt;Power&lt;/FONT&gt; and sample size analysis optimizes the resource usage and design of a study, improving chances of conclusive results with maximum efficiency. The &lt;FONT style="background-color: #fcdec0;"&gt;POWER&lt;/FONT&gt; procedure performs&lt;FONT color="#800080"&gt;&lt;STRONG&gt; prospective &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/FONT&gt; and sample size analyses for a variety of goals, such as the following:&lt;/P&gt;
&lt;DIV&gt;
&lt;UL type="disc"&gt;
&lt;LI&gt;
&lt;P&gt;determining the sample size required to get a significant result with adequate probability (&lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt;)&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;characterizing the &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt; of a study to detect a meaningful effect&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;conducting what-if analyses to assess sensitivity of the &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt; or required sample size to other factors&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;(my color emphasis added)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 30 Jan 2024 23:36:20 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2024-01-30T23:36:20Z</dc:date>
    <item>
      <title>Post-hoc power analysis for Cox regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-analysis-for-Cox-regression/m-p/913686#M45358</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;I want to do post hoc power analysis for Co regression. I want to calculate power in SAS for cox regression. I can find the hazard ratio and confidence interval from other studies. How can find R square and standard deviation for these code&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc power;
coxreg
hazardratio = 1.4
rsquare = 0.15
stddev = 1.2
ntotal = 80
eventprob = 0.8
power = .
;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 30 Jan 2024 23:17:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-analysis-for-Cox-regression/m-p/913686#M45358</guid>
      <dc:creator>Manije72</dc:creator>
      <dc:date>2024-01-30T23:17:48Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc power analysis for Cox regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-analysis-for-Cox-regression/m-p/913693#M45359</link>
      <description>&lt;P&gt;Proc Power is intended to do pre-study planning, not post hoc power analysis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;From the online help:&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;DIV class="xis-refProc"&gt;
&lt;DIV id="statug.power.powoverview" class="AAsection"&gt;
&lt;DIV class="xis-title"&gt;
&lt;DIV&gt;
&lt;DIV&gt;
&lt;H2 class="xis-title"&gt;Overview: &lt;FONT style="background-color: #fcdec0;"&gt;POWER&lt;/FONT&gt; Procedure&lt;/H2&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;FONT style="background-color: #fcdec0;"&gt;Power&lt;/FONT&gt; and sample size analysis optimizes the resource usage and design of a study, improving chances of conclusive results with maximum efficiency. The &lt;FONT style="background-color: #fcdec0;"&gt;POWER&lt;/FONT&gt; procedure performs&lt;FONT color="#800080"&gt;&lt;STRONG&gt; prospective &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/FONT&gt; and sample size analyses for a variety of goals, such as the following:&lt;/P&gt;
&lt;DIV&gt;
&lt;UL type="disc"&gt;
&lt;LI&gt;
&lt;P&gt;determining the sample size required to get a significant result with adequate probability (&lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt;)&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;characterizing the &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt; of a study to detect a meaningful effect&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;conducting what-if analyses to assess sensitivity of the &lt;FONT style="background-color: #fcdec0;"&gt;power&lt;/FONT&gt; or required sample size to other factors&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;(my color emphasis added)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Jan 2024 23:36:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-analysis-for-Cox-regression/m-p/913693#M45359</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2024-01-30T23:36:20Z</dc:date>
    </item>
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