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    <title>topic Re: Sample size calculation for a one sample logrank test in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/507287#M26047</link>
    <description>&lt;P&gt;Haven't come across that in SAS but PASS software has it. The reference they cite is:&lt;/P&gt;&lt;P&gt;Wu, Jianrong. 2015. “Sample size calculation for the one-sample log-rank test,” Pharmaceutical Statistics, Volume&lt;BR /&gt;14, pages 26-33.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also attached is the documentation from PASS and a poster.&lt;/P&gt;</description>
    <pubDate>Wed, 24 Oct 2018 19:05:33 GMT</pubDate>
    <dc:creator>tamhane</dc:creator>
    <dc:date>2018-10-24T19:05:33Z</dc:date>
    <item>
      <title>Sample size calculation for a one sample logrank test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/418500#M21987</link>
      <description>&lt;P&gt;Is there a way in SAS to perform a sample size calculation for a one-sample logrank test? The information I have is a historical based assumption providing a median survival time.&lt;/P&gt;&lt;P&gt;I assumed, that the historical median survival time is 6 months and the estimated survival time will be 10 months.&lt;/P&gt;&lt;P&gt;So far I used proc power and assumed having two samples, so that I can perform a calculation:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc power;
	twosamplesurvival test=logrank
	groupmedsurvtimes = (6 10)
	accrualtime = 6
	followuptime = 6
	grouplossexphazards = (0 0)
	groupweights = (1 1)
	alpha = 0.025
	sides = 1
	power = 0.8
	ntotal=.;
run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;The chosen parameters are not important to me, it is about finding a method to perform a proper one-sample logrank test in SAS. If this is not possible by now than this information is helpful aswell.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm running SAS 9.4.&lt;/P&gt;</description>
      <pubDate>Tue, 05 Dec 2017 15:22:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/418500#M21987</guid>
      <dc:creator>pit</dc:creator>
      <dc:date>2017-12-05T15:22:33Z</dc:date>
    </item>
    <item>
      <title>Re: Sample size calculation for a one sample logrank test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/507287#M26047</link>
      <description>&lt;P&gt;Haven't come across that in SAS but PASS software has it. The reference they cite is:&lt;/P&gt;&lt;P&gt;Wu, Jianrong. 2015. “Sample size calculation for the one-sample log-rank test,” Pharmaceutical Statistics, Volume&lt;BR /&gt;14, pages 26-33.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also attached is the documentation from PASS and a poster.&lt;/P&gt;</description>
      <pubDate>Wed, 24 Oct 2018 19:05:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/507287#M26047</guid>
      <dc:creator>tamhane</dc:creator>
      <dc:date>2018-10-24T19:05:33Z</dc:date>
    </item>
    <item>
      <title>Re: Sample size calculation for a one sample logrank test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/507407#M26051</link>
      <description>&lt;P&gt;Thank you for your opinion and the attached files! I haven't found a way to perform a sample size calculation for a one sample logrank test within SAS, so I used nQuery Advisor.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Oct 2018 06:14:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Sample-size-calculation-for-a-one-sample-logrank-test/m-p/507407#M26051</guid>
      <dc:creator>pit</dc:creator>
      <dc:date>2018-10-25T06:14:34Z</dc:date>
    </item>
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