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    <title>topic Re: Trying to create a binary logistic regression that accounts for repeated measures in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418430#M66740</link>
    <description>&lt;P&gt;More to the point of your question, try this from a few years back:&amp;nbsp;&lt;LI-MESSAGE title="Logistic Plot interpretation of points" uid="84641" url="https://community.jmp.com/t5/Discussions/Logistic-Plot-interpretation-of-points/m-p/84641#U84641" discussion_style_icon_css="lia-mention-container-editor-message lia-img-icon-forum-thread lia-fa-icon lia-fa-forum lia-fa-thread lia-fa"&gt;&lt;/LI-MESSAGE&gt;.&amp;nbsp; I still find the graph confusing, but coloring the points does help.&lt;/P&gt;</description>
    <pubDate>Wed, 15 Sep 2021 16:58:56 GMT</pubDate>
    <dc:creator>dale_lehman</dc:creator>
    <dc:date>2021-09-15T16:58:56Z</dc:date>
    <item>
      <title>Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418327#M66735</link>
      <description>&lt;P&gt;I am trying to create a logistic regression with a Yes/No response for a continuous variable. I followed the "Fit Y by X" menu on JMP to get the attached graph, but I am confused on why data points are falling between "0" and "1". There were only two possible categories. I would also like to make this logistic regression account for repeated measures since there were many independent replicates for some individuals.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:38:54 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418327#M66735</guid>
      <dc:creator>rhammock</dc:creator>
      <dc:date>2023-06-09T00:38:54Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418332#M66736</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/31771"&gt;@rhammock&lt;/a&gt; ,&lt;/P&gt;
&lt;P&gt;have a look at the 2nd example here.&lt;/P&gt;
&lt;P&gt;please let us know if it helps&lt;/P&gt;
&lt;P&gt;&lt;LI-MESSAGE title="Generalized Linear Mixed Model Add-in" uid="284627" url="https://community.jmp.com/t5/JMP-Add-Ins/Generalized-Linear-Mixed-Model-Add-in/m-p/284627#U284627" discussion_style_icon_css="lia-mention-container-editor-message lia-img-icon-tkb-thread lia-fa-icon lia-fa-tkb lia-fa-thread lia-fa"&gt;&lt;/LI-MESSAGE&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Sep 2021 16:58:13 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418332#M66736</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-09-15T16:58:13Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418430#M66740</link>
      <description>&lt;P&gt;More to the point of your question, try this from a few years back:&amp;nbsp;&lt;LI-MESSAGE title="Logistic Plot interpretation of points" uid="84641" url="https://community.jmp.com/t5/Discussions/Logistic-Plot-interpretation-of-points/m-p/84641#U84641" discussion_style_icon_css="lia-mention-container-editor-message lia-img-icon-forum-thread lia-fa-icon lia-fa-forum lia-fa-thread lia-fa"&gt;&lt;/LI-MESSAGE&gt;.&amp;nbsp; I still find the graph confusing, but coloring the points does help.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Sep 2021 16:58:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418430#M66740</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2021-09-15T16:58:56Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418810#M66787</link>
      <description>&lt;P&gt;I'm a little confused on concept of jitter. I understand that JMP uses it to avoid clumps of points at "0" and "1" for a logistic curve, but it is not random? Every time I re-run the "Fit Y by X" the spread is the same. Any help in understanding that would be appreciated, otherwise I get why JMP does logistic regressions like this.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also, I'm having trouble finding the "coloring by Status" option&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for the reply!&lt;/P&gt;</description>
      <pubDate>Thu, 16 Sep 2021 20:56:55 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418810#M66787</guid>
      <dc:creator>rhammock</dc:creator>
      <dc:date>2021-09-16T20:56:55Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418813#M66788</link>
      <description>&lt;P&gt;If I'm understanding correctly, I need to run my data through the generalized mixed model to account for the repeated measures and then do the logistic regression? My situation in more detail - I have a different number of independent replicates for different individuals. "avg_red_sta" is the same for an individual regardless of how many times its been used in an independent replicate, but "land?" can vary between replicates. I want to make sure that each individual has an equal weight in the distribution. I have a column in my data with a corresponding value to each "avg_red_sta" value.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Sep 2021 21:17:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418813#M66788</guid>
      <dc:creator>rhammock</dc:creator>
      <dc:date>2021-09-16T21:17:01Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418986#M66800</link>
      <description>&lt;P&gt;The y ordinate is random, but the platform uses the same seed for the random generator. Users complained about the changing position of the markers when they ran the Logistic platform again.&lt;/P&gt;</description>
      <pubDate>Fri, 17 Sep 2021 14:37:34 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/418986#M66800</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-09-17T14:37:34Z</dc:date>
    </item>
    <item>
      <title>Re: Trying to create a binary logistic regression that accounts for repeated measures</title>
      <link>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/419027#M66804</link>
      <description>&lt;P&gt;Under the red arrow above Rows in the data table, color or mark by column - Status.&lt;/P&gt;</description>
      <pubDate>Fri, 17 Sep 2021 18:24:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Trying-to-create-a-binary-logistic-regression-that-accounts-for/m-p/419027#M66804</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2021-09-17T18:24:37Z</dc:date>
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