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    <title>topic Re: Multiple Comparisons in a contingency table in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44745#M25609</link>
    <description>&lt;P&gt;Correspondence Analysis from the Fit Y by X output may help you, too. It is not a formal statistical test, but the plot gives a nice graphical tool showing you the associations that exist in the table. Items that are not "close" to each other would be more "independent".&lt;/P&gt;</description>
    <pubDate>Mon, 18 Sep 2017 14:42:46 GMT</pubDate>
    <dc:creator>Dan_Obermiller</dc:creator>
    <dc:date>2017-09-18T14:42:46Z</dc:date>
    <item>
      <title>Multiple Comparisons in a contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44165#M25431</link>
      <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Assuming I have a nominal outcome (0/1) as my Y variable.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have 5 different years with a specific incidence of events occuring each year (x1,x2,x3,x4,x5), but also an overall incidence over the years: x*.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Creating a Fit x/y and I get a contingency table, indicating me a difference over the years.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How can I however identify which years are independently different to x* ?&lt;/P&gt;&lt;P&gt;How can I calculate an OR per year (x1,x2,x3,x4,x5) to x* ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Many thanks for helping me out here ! Marc&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 09 Sep 2017 06:19:49 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44165#M25431</guid>
      <dc:creator>marcax</dc:creator>
      <dc:date>2017-09-09T06:19:49Z</dc:date>
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    <item>
      <title>Re: Multiple Comparisons in a contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44484#M25506</link>
      <description>How about Analysis of Means for Proportions?  It is an option in the fit y by x when you your outcome has two levels.</description>
      <pubDate>Wed, 13 Sep 2017 18:39:47 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44484#M25506</guid>
      <dc:creator>KarenC</dc:creator>
      <dc:date>2017-09-13T18:39:47Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple Comparisons in a contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44745#M25609</link>
      <description>&lt;P&gt;Correspondence Analysis from the Fit Y by X output may help you, too. It is not a formal statistical test, but the plot gives a nice graphical tool showing you the associations that exist in the table. Items that are not "close" to each other would be more "independent".&lt;/P&gt;</description>
      <pubDate>Mon, 18 Sep 2017 14:42:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Multiple-Comparisons-in-a-contingency-table/m-p/44745#M25609</guid>
      <dc:creator>Dan_Obermiller</dc:creator>
      <dc:date>2017-09-18T14:42:46Z</dc:date>
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