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    <title>topic Re: Friedman test and Survival Curves in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94681#M4696</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;For 1, I'd like more information, but as a start, you could transform the data to ranks and use PROC GLM.&amp;nbsp; Note that the data must be balanced for this approach to work.&amp;nbsp; In addition, there cannot be any interactions between main effects/factors.&amp;nbsp; With more information, it may be possible to suggest an analysis that is not so restrictive, especially if you are doing Friedman's because of "lack of normality".&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 04 Jun 2013 17:58:33 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2013-06-04T17:58:33Z</dc:date>
    <item>
      <title>Friedman test and Survival Curves</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94679#M4694</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hallo colleagues!&lt;BR /&gt; &lt;BR /&gt; I have some questions about SAS/STAT Procedures:&lt;BR /&gt; 1) I can’t find in SAS/STAT Multifactor Friedman test ANOVA. I see one-way ANOVA test, is there multifactor(and how can I get it)?&lt;BR /&gt; 2) I have more than 4 survival curves(&lt;SPAN style="font-family: 'Arial','sans-serif'; color: black; background: white;"&gt;hypothesis that there is no differences). I can reject or support hypothesis? But what method do I need to perform what curves have differences?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt; Many Thanks&lt;SPAN style="color: black;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: 'Arial','sans-serif'; color: #999999;"&gt;-------------------------------------------------------------------------------------&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: navy; font-size: 10.0pt; font-family: 'Arial','sans-serif';"&gt;&lt;STRONG&gt;Balashova&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Jun 2013 13:29:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94679#M4694</guid>
      <dc:creator>Daria</dc:creator>
      <dc:date>2013-06-04T13:29:59Z</dc:date>
    </item>
    <item>
      <title>Re: Friedman test and Survival Curves</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94680#M4695</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;For 2) You can do a pairwise test to see which are truely different.&amp;nbsp; Or you can switch to a parametric method, such as PROC PHREG (Cox regression model) that will provide more details on which levels are different.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Jun 2013 15:15:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94680#M4695</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-06-04T15:15:17Z</dc:date>
    </item>
    <item>
      <title>Re: Friedman test and Survival Curves</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94681#M4696</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;For 1, I'd like more information, but as a start, you could transform the data to ranks and use PROC GLM.&amp;nbsp; Note that the data must be balanced for this approach to work.&amp;nbsp; In addition, there cannot be any interactions between main effects/factors.&amp;nbsp; With more information, it may be possible to suggest an analysis that is not so restrictive, especially if you are doing Friedman's because of "lack of normality".&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Jun 2013 17:58:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Friedman-test-and-Survival-Curves/m-p/94681#M4696</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-06-04T17:58:33Z</dc:date>
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