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    <title>topic Re: Data analysis in SAS - anova in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237365#M12584</link>
    <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, so, these 20 volunteers all tested the 4 different solutions at different study days. So that's why it is repeated (with the same subjects and the same solutions for every subject).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 02 Dec 2015 13:30:34 GMT</pubDate>
    <dc:creator>Imkemasuy</dc:creator>
    <dc:date>2015-12-02T13:30:34Z</dc:date>
    <item>
      <title>Data analysis in SAS - anova</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237176#M12571</link>
      <description>&lt;P&gt;I tested 4 different sugar solutions in 20 healthy volunteers. They had to drink the solutions until they were satiated.&lt;/P&gt;&lt;P&gt;So my question is: Is there a significant difference in drinking time between the 4 solutions?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to analyze it with SAS, but I'm not sure which syntax to use. I've already run ANOVA, but the resulting p-value is not consistent with the p-value I found using GraphPad Prism. I think it's because SAS did a normal ANOVA, but it has to be a repeated measures ANOVA with multiple comparisons.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I tried a lot of different commands in SAS, but I'm not sure which one is the right one. So if anybody could help me? Would be nice &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Cheers!&lt;/P&gt;</description>
      <pubDate>Tue, 01 Dec 2015 15:18:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237176#M12571</guid>
      <dc:creator>Imkemasuy</dc:creator>
      <dc:date>2015-12-01T15:18:25Z</dc:date>
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    <item>
      <title>Re: Data analysis in SAS - anova</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237212#M12574</link>
      <description>&lt;P&gt;You say you think it should be a repeated measures analysis, but there's nothing in your decription that indicates repeated measures was actually performed. You said: "I tested 4 different sugar solutions in 20 healthy volunteers. They had to drink the solutions until they were satiated."&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So can you explain further?&lt;/P&gt;</description>
      <pubDate>Tue, 01 Dec 2015 17:16:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237212#M12574</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2015-12-01T17:16:46Z</dc:date>
    </item>
    <item>
      <title>Re: Data analysis in SAS - anova</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237362#M12583</link>
      <description>&lt;P&gt;You are right that you have dependent data because "time to satiety" will partly depend on the person.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;RM ANOVA is one way to analyze such data, and it can be done in SAS, but RM ANOVA makes rather strong assumptions (it assumes sphericity) and a better way to analyze such data is with multilevel models.&amp;nbsp; Since your DV is continuous, then PROC MIXED is probably a good place to start.&lt;/P&gt;</description>
      <pubDate>Wed, 02 Dec 2015 13:23:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237362#M12583</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2015-12-02T13:23:33Z</dc:date>
    </item>
    <item>
      <title>Re: Data analysis in SAS - anova</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237365#M12584</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, so, these 20 volunteers all tested the 4 different solutions at different study days. So that's why it is repeated (with the same subjects and the same solutions for every subject).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 02 Dec 2015 13:30:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Data-analysis-in-SAS-anova/m-p/237365#M12584</guid>
      <dc:creator>Imkemasuy</dc:creator>
      <dc:date>2015-12-02T13:30:34Z</dc:date>
    </item>
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