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    <title>topic Post hoc power calculations for different test in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-calculations-for-different-test/m-p/919869#M45685</link>
    <description>&lt;P&gt;A study was powered for a non-inferiority test. However, the PI wants to know if a superiority test is possible now that we've seen the results, i.e., wants to claim one product is superior to the other since the GMT 95% CIs do not overlap.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1) Is it worth checking what the power would be with our final sample size?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(2) If so, would I use the results I have (geometric mean and log10 SD) rather than theoretical outcomes?&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/*sample code*/
proc power;
twosamplemeans test=diff nfrac
meandiff = Actual_MeanDiff
sides = 2
alpha = 0.05
groupstddevs= (Actual_SD1 Actual_SD2)
groupNs= (Actual_N1 Actual_N2)
power = .;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 11 Mar 2024 22:15:51 GMT</pubDate>
    <dc:creator>mariko5797</dc:creator>
    <dc:date>2024-03-11T22:15:51Z</dc:date>
    <item>
      <title>Post hoc power calculations for different test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-calculations-for-different-test/m-p/919869#M45685</link>
      <description>&lt;P&gt;A study was powered for a non-inferiority test. However, the PI wants to know if a superiority test is possible now that we've seen the results, i.e., wants to claim one product is superior to the other since the GMT 95% CIs do not overlap.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1) Is it worth checking what the power would be with our final sample size?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;(2) If so, would I use the results I have (geometric mean and log10 SD) rather than theoretical outcomes?&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/*sample code*/
proc power;
twosamplemeans test=diff nfrac
meandiff = Actual_MeanDiff
sides = 2
alpha = 0.05
groupstddevs= (Actual_SD1 Actual_SD2)
groupNs= (Actual_N1 Actual_N2)
power = .;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 11 Mar 2024 22:15:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-calculations-for-different-test/m-p/919869#M45685</guid>
      <dc:creator>mariko5797</dc:creator>
      <dc:date>2024-03-11T22:15:51Z</dc:date>
    </item>
    <item>
      <title>Re: Post hoc power calculations for different test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-calculations-for-different-test/m-p/920121#M45706</link>
      <description>&lt;P&gt;You should not compute a post-hoc power analysis. A power analysis is only useful &lt;EM&gt;prior&lt;/EM&gt; to the study to estimate a reasonable target enrollment number. Once the study is complete, you can either run the superiority test or not. You will have a better idea if reviewers in your field will accept a superiority test for a trial designed to detect non-inferiority.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 13 Mar 2024 13:43:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Post-hoc-power-calculations-for-different-test/m-p/920121#M45706</guid>
      <dc:creator>Mike_N</dc:creator>
      <dc:date>2024-03-13T13:43:54Z</dc:date>
    </item>
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