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    <title>topic non-parametrical 2 way Anova/mixed model with multiple comparisons in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/non-parametrical-2-way-Anova-mixed-model-with-multiple/m-p/573598#M78260</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Do you know if JMP has any option to do a non-parametric kind of 2way Anova/mixed model analysis with the&amp;nbsp;option&amp;nbsp;for multiple comparisons and an adequate&amp;nbsp;adjustment? &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I have data of a rather dichotomous character which can’t be transformed into a Gaussian distribution and would therefore violate the assumptions of a regular ANOVA/mixed model analysis. I have measured Bilirubin at 5 Endpoints (28d, 31d, 35d, 42d and 56d) on two treatment levels (control, treatment). Its not a repeated measurements design but different subjects at each endpoint respectively. You will find a quick plot of the data attached to get a better understanding how the data are structured. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Im&amp;nbsp;&lt;/SPAN&gt;currently using JMP 15 pro, soon updating to 17, so any solutions possible in the latest version would also work. I also have SAS 9.4 running, so if any solution to this particular problem could only be provided in SAS I would also be happy to hear it!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you very much!&lt;/P&gt;&lt;P&gt;best Moritz&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 09 Jun 2023 00:57:42 GMT</pubDate>
    <dc:creator>muhlig</dc:creator>
    <dc:date>2023-06-09T00:57:42Z</dc:date>
    <item>
      <title>non-parametrical 2 way Anova/mixed model with multiple comparisons</title>
      <link>https://community.jmp.com/t5/Discussions/non-parametrical-2-way-Anova-mixed-model-with-multiple/m-p/573598#M78260</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Do you know if JMP has any option to do a non-parametric kind of 2way Anova/mixed model analysis with the&amp;nbsp;option&amp;nbsp;for multiple comparisons and an adequate&amp;nbsp;adjustment? &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I have data of a rather dichotomous character which can’t be transformed into a Gaussian distribution and would therefore violate the assumptions of a regular ANOVA/mixed model analysis. I have measured Bilirubin at 5 Endpoints (28d, 31d, 35d, 42d and 56d) on two treatment levels (control, treatment). Its not a repeated measurements design but different subjects at each endpoint respectively. You will find a quick plot of the data attached to get a better understanding how the data are structured. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Im&amp;nbsp;&lt;/SPAN&gt;currently using JMP 15 pro, soon updating to 17, so any solutions possible in the latest version would also work. I also have SAS 9.4 running, so if any solution to this particular problem could only be provided in SAS I would also be happy to hear it!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you very much!&lt;/P&gt;&lt;P&gt;best Moritz&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:57:42 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/non-parametrical-2-way-Anova-mixed-model-with-multiple/m-p/573598#M78260</guid>
      <dc:creator>muhlig</dc:creator>
      <dc:date>2023-06-09T00:57:42Z</dc:date>
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    <item>
      <title>Re: non-parametrical 2 way Anova/mixed model with multiple comparisons</title>
      <link>https://community.jmp.com/t5/Discussions/non-parametrical-2-way-Anova-mixed-model-with-multiple/m-p/575324#M78364</link>
      <description>&lt;P&gt;Maybe check in this direction for nonparametric comparisons.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/17.0/index.shtml#page/jmp/nonparametric-multiple-comparisons-reports.shtml" target="_blank"&gt;https://www.jmp.com/support/help/en/17.0/index.shtml#page/jmp/nonparametric-multiple-comparisons-reports.shtml&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Byron_JMP_0-1669839766942.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/47809i3172EFA858D49F30/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Byron_JMP_0-1669839766942.png" alt="Byron_JMP_0-1669839766942.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 30 Nov 2022 20:24:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/non-parametrical-2-way-Anova-mixed-model-with-multiple/m-p/575324#M78364</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2022-11-30T20:24:05Z</dc:date>
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