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    <title>topic Re: Post-hoc test after contingency table in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47837#M27245</link>
    <description>&lt;P&gt;It sounded as if you had one response (five nominal categories) and one factor (tthree reatments). Why do you have two response data columns?&lt;/P&gt;
&lt;P&gt;Also, use the Generalized Linear Model as I told you instead of the Nominal Logistic fitting personality.&lt;/P&gt;</description>
    <pubDate>Wed, 29 Nov 2017 16:06:23 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2017-11-29T16:06:23Z</dc:date>
    <item>
      <title>Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47771#M27209</link>
      <description>&lt;P&gt;Is it possible to do a post-hoc test in JMP when Chi2 of your contigency table indicated that their is a&amp;nbsp;difference between two categorical data?&lt;/P&gt;&lt;P&gt;I have three treatments&amp;nbsp;and 5 categories and I want to know if for instance&amp;nbsp;there are significant differences in my&amp;nbsp;3 treatments&amp;nbsp;between the categories&amp;nbsp;(like categorie 1&amp;nbsp;have significant more samples from treatment A compared to treament B)&lt;/P&gt;&lt;P&gt;Is this possible in JMP?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thx&lt;/P&gt;</description>
      <pubDate>Tue, 28 Nov 2017 14:53:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47771#M27209</guid>
      <dc:creator>Jolien</dc:creator>
      <dc:date>2017-11-28T14:53:14Z</dc:date>
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    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47779#M27216</link>
      <description>&lt;P&gt;You might be able to use the custom test or contrast options&amp;nbsp;in a generalized linear model fit. See Help &amp;gt; JMP Help&amp;nbsp;and search "custom test." Select "Custom Test Option" to see the details for GLM.&lt;/P&gt;</description>
      <pubDate>Tue, 28 Nov 2017 16:13:31 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47779#M27216</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2017-11-28T16:13:31Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47822#M27233</link>
      <description>&lt;P&gt;Thanks for your reply.&lt;/P&gt;&lt;P&gt;When I use the fit model option, fill in my two nominal response variables and choose for GLM it gives me the warning of bad data, the only option is nominal logistics, which don't give me the tests I want.&lt;/P&gt;&lt;P&gt;Is there maybe another option to test two nominal response variables?&lt;/P&gt;</description>
      <pubDate>Wed, 29 Nov 2017 08:02:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47822#M27233</guid>
      <dc:creator>Jolien</dc:creator>
      <dc:date>2017-11-29T08:02:36Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47837#M27245</link>
      <description>&lt;P&gt;It sounded as if you had one response (five nominal categories) and one factor (tthree reatments). Why do you have two response data columns?&lt;/P&gt;
&lt;P&gt;Also, use the Generalized Linear Model as I told you instead of the Nominal Logistic fitting personality.&lt;/P&gt;</description>
      <pubDate>Wed, 29 Nov 2017 16:06:23 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47837#M27245</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2017-11-29T16:06:23Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47937#M27288</link>
      <description>&lt;P&gt;Yes indeed I have one response with five&amp;nbsp;categories and one factor with three treatments.&lt;/P&gt;&lt;P&gt;But I do not know how I have to fill this in 'fit model'? If I take my response as Y and my factor to constuct the model I can only take GLM if I say that the distribution is binomial and that is not. So I'm stuck in filling out the 'fit model' option.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 30 Nov 2017 12:35:53 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47937#M27288</guid>
      <dc:creator>Jolien</dc:creator>
      <dc:date>2017-11-30T12:35:53Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47943#M27294</link>
      <description>&lt;P&gt;You are correct. I am sorry for giving you this advice. You can fit a nominal or ordinal logistic model but then you won't have the post-hoc tests. You can't fit a multi-nomial model in GLM in JMP.&lt;/P&gt;
&lt;P&gt;I found custom tests in the Generalized Regression platform&amp;nbsp;in JMP Pro when I used the Elastic Net estimation method. Do you have JMP Pro?&lt;/P&gt;</description>
      <pubDate>Thu, 30 Nov 2017 14:10:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47943#M27294</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2017-11-30T14:10:40Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47954#M27301</link>
      <description>&lt;P&gt;I have indeed JMP Pro, but when I use the Generalized Regression platform in the fit model option it gives the same problem that only binomial data can be used.&lt;/P&gt;&lt;P&gt;I'm afraid that this analysis isn't possible in JMP.&lt;/P&gt;</description>
      <pubDate>Thu, 30 Nov 2017 15:16:13 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47954#M27301</guid>
      <dc:creator>Jolien</dc:creator>
      <dc:date>2017-11-30T15:16:13Z</dc:date>
    </item>
    <item>
      <title>Re: Post-hoc test after contingency table</title>
      <link>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47975#M27308</link>
      <description>&lt;P&gt;I think that this situation will be addressed in JMP Pro 14. That is, you will be able to fit ordinal logistic models in Generalized Regression platform and use custom post-hoc tests.&lt;/P&gt;</description>
      <pubDate>Thu, 30 Nov 2017 18:01:18 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Post-hoc-test-after-contingency-table/m-p/47975#M27308</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2017-11-30T18:01:18Z</dc:date>
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