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    <title>topic Re: Chi-square vs proc glimmix in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Re-Chi-square-vs-proc-glimmix/m-p/632061#M30300</link>
    <description>&lt;P&gt;The tests are for different questions.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Depending on the type of chi-square test, you are probably only testing if there are significant proportional differences across the eight (2x4) categories simultaneously.&amp;nbsp; So you might get significance, for example, if any 2 combinations of categories is has a smaller N than each of the the other six combinations of categories.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Proc glimmix with the multinomial option will test if your binary predictor is significantly better at predicting each of three of your outcome categories relative to a fourth outcome (reference) category.&amp;nbsp; So here the question is if your binary predictor is associated with a significantly higher or lower probability of being being in one, two, or three of your outcome categories compared to its probability of being in the fourth reference outcome category.&lt;/P&gt;</description>
    <pubDate>Fri, 13 Mar 2020 20:15:10 GMT</pubDate>
    <dc:creator>tellmeaboutityo</dc:creator>
    <dc:date>2020-03-13T20:15:10Z</dc:date>
    <item>
      <title>Re: Chi-square vs proc glimmix</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Re-Chi-square-vs-proc-glimmix/m-p/632061#M30300</link>
      <description>&lt;P&gt;The tests are for different questions.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Depending on the type of chi-square test, you are probably only testing if there are significant proportional differences across the eight (2x4) categories simultaneously.&amp;nbsp; So you might get significance, for example, if any 2 combinations of categories is has a smaller N than each of the the other six combinations of categories.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Proc glimmix with the multinomial option will test if your binary predictor is significantly better at predicting each of three of your outcome categories relative to a fourth outcome (reference) category.&amp;nbsp; So here the question is if your binary predictor is associated with a significantly higher or lower probability of being being in one, two, or three of your outcome categories compared to its probability of being in the fourth reference outcome category.&lt;/P&gt;</description>
      <pubDate>Fri, 13 Mar 2020 20:15:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Re-Chi-square-vs-proc-glimmix/m-p/632061#M30300</guid>
      <dc:creator>tellmeaboutityo</dc:creator>
      <dc:date>2020-03-13T20:15:10Z</dc:date>
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