<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: calculate odds ratios for several predictors in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33739#M20015</link>
    <description>&lt;P&gt;I might be wrong, but is sounds like you should include as a predictor the cross between time and gender.&amp;nbsp; It will have its own odds ratios which is what you are looking for.&amp;nbsp; It is entirely possible that you might be able to derive that from the odds ratios for the two predictors alone (although I doubt it), but I'm not smart enough to know how to do that.&lt;/P&gt;</description>
    <pubDate>Thu, 15 Dec 2016 20:11:24 GMT</pubDate>
    <dc:creator>dale_lehman</dc:creator>
    <dc:date>2016-12-15T20:11:24Z</dc:date>
    <item>
      <title>calculate odds ratios for several predictors</title>
      <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33730#M20013</link>
      <description>&lt;P&gt;My data consists of two predictors, one with 3 responses (time at exposure) and 1 with two responses(gender.&lt;/P&gt;&lt;P&gt;I can do a log reg just fine and I cross my two variables, but I'm not sure how to interpret my OR's, .&lt;/P&gt;&lt;P&gt;I want to know: OR for early exposed females. How do I get that? Is that already in the table, or do I need multiply the OR for females with the OR for early exposed?&lt;/P&gt;&lt;P&gt;And if it's already in the table, how do I get early exposed males?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I've talked with my advisor and he insists that nominal is the way to go, so that's what I have done&lt;/P&gt;</description>
      <pubDate>Thu, 15 Dec 2016 18:27:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33730#M20013</guid>
      <dc:creator>Thaelina</dc:creator>
      <dc:date>2016-12-15T18:27:00Z</dc:date>
    </item>
    <item>
      <title>Re: calculate odds ratios for several predictors</title>
      <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33739#M20015</link>
      <description>&lt;P&gt;I might be wrong, but is sounds like you should include as a predictor the cross between time and gender.&amp;nbsp; It will have its own odds ratios which is what you are looking for.&amp;nbsp; It is entirely possible that you might be able to derive that from the odds ratios for the two predictors alone (although I doubt it), but I'm not smart enough to know how to do that.&lt;/P&gt;</description>
      <pubDate>Thu, 15 Dec 2016 20:11:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33739#M20015</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2016-12-15T20:11:24Z</dc:date>
    </item>
    <item>
      <title>Re: calculate odds ratios for several predictors</title>
      <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33742#M20016</link>
      <description>&lt;P&gt;But I think I already did that? I have 3 model effects: Gender, Exposure status and gender*exposure status, and I don't get any ORs for that. I get parameter estimates and effect likelihood ratio for it though, that's why I thought I might be able to calculate it. It might also be a part of the given OR's I just can't figure it out.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This is the OR output, but where is female-late neutering against unaltered?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;Level1&lt;/TD&gt;&lt;TD&gt;/Level2&lt;/TD&gt;&lt;TD&gt;Odds Ratio&lt;/TD&gt;&lt;TD&gt;Prob&amp;gt;Chisq&lt;/TD&gt;&lt;TD&gt;Lower 95%&lt;/TD&gt;&lt;TD&gt;Upper 95%&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Late neutering&lt;/TD&gt;&lt;TD&gt;Early neutering&lt;/TD&gt;&lt;TD&gt;2.8559149&lt;/TD&gt;&lt;TD&gt;0.1924&lt;/TD&gt;&lt;TD&gt;0.5895623&lt;/TD&gt;&lt;TD&gt;13.834415&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Unaltered&lt;/TD&gt;&lt;TD&gt;Early neutering&lt;/TD&gt;&lt;TD&gt;1.2280227&lt;/TD&gt;&lt;TD&gt;0.7489&lt;/TD&gt;&lt;TD&gt;0.3490645&lt;/TD&gt;&lt;TD&gt;4.3202328&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Unaltered&lt;/TD&gt;&lt;TD&gt;Late neutering&lt;/TD&gt;&lt;TD&gt;0.4299927&lt;/TD&gt;&lt;TD&gt;0.1203&lt;/TD&gt;&lt;TD&gt;0.1482636&lt;/TD&gt;&lt;TD&gt;1.2470607&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Early neutering&lt;/TD&gt;&lt;TD&gt;Late neutering&lt;/TD&gt;&lt;TD&gt;0.3501505&lt;/TD&gt;&lt;TD&gt;0.1924&lt;/TD&gt;&lt;TD&gt;0.0722835&lt;/TD&gt;&lt;TD&gt;1.6961735&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Early neutering&lt;/TD&gt;&lt;TD&gt;Unaltered&lt;/TD&gt;&lt;TD&gt;0.8143172&lt;/TD&gt;&lt;TD&gt;0.7489&lt;/TD&gt;&lt;TD&gt;0.231469&lt;/TD&gt;&lt;TD&gt;2.8648004&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Late neutering&lt;/TD&gt;&lt;TD&gt;Unaltered&lt;/TD&gt;&lt;TD&gt;2.3256207&lt;/TD&gt;&lt;TD&gt;0.1203&lt;/TD&gt;&lt;TD&gt;0.8018856&lt;/TD&gt;&lt;TD&gt;6.744742&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Odds Ratios for Gender&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Level1&lt;/TD&gt;&lt;TD&gt;/Level2&lt;/TD&gt;&lt;TD&gt;Odds Ratio&lt;/TD&gt;&lt;TD&gt;Prob&amp;gt;Chisq&lt;/TD&gt;&lt;TD&gt;Lower 95%&lt;/TD&gt;&lt;TD&gt;Upper 95%&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Male&lt;/TD&gt;&lt;TD&gt;Female&lt;/TD&gt;&lt;TD&gt;1.1581507&lt;/TD&gt;&lt;TD&gt;0.789&lt;/TD&gt;&lt;TD&gt;0.3950657&lt;/TD&gt;&lt;TD&gt;3.3951648&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Female&lt;/TD&gt;&lt;TD&gt;Male&lt;/TD&gt;&lt;TD&gt;0.8634455&lt;/TD&gt;&lt;TD&gt;0.789&lt;/TD&gt;&lt;TD&gt;0.2945365&lt;/TD&gt;&lt;TD&gt;2.5312246&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 15 Dec 2016 21:07:49 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33742#M20016</guid>
      <dc:creator>Thaelina</dc:creator>
      <dc:date>2016-12-15T21:07:49Z</dc:date>
    </item>
    <item>
      <title>Re: calculate odds ratios for several predictors</title>
      <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33744#M20017</link>
      <description>&lt;P&gt;You are correct - it appears that JMP does not provide odds ratios for the interactions.&amp;nbsp; Further, it seems to be somewhat complex to calculate them, but it can be done.&amp;nbsp; I found the following to provide some detail:&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.ats.ucla.edu/stat/stata/seminars/interaction_sem/interaction_sem.htm" target="_blank"&gt;http://www.ats.ucla.edu/stat/stata/seminars/interaction_sem/interaction_sem.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Also, the early slides in&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.cantab.net/users/filimon/cursoFCDEF/will/logistic_interact.pdf" target="_blank"&gt;http://www.cantab.net/users/filimon/cursoFCDEF/will/logistic_interact.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;appear to show what to do.&lt;/P&gt;</description>
      <pubDate>Thu, 15 Dec 2016 21:23:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33744#M20017</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2016-12-15T21:23:02Z</dc:date>
    </item>
    <item>
      <title>Re: calculate odds ratios for several predictors</title>
      <link>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33750#M20019</link>
      <description>Oh dear,&lt;BR /&gt;Well, thank you so much for those links, they're exactly what I need!&lt;BR /&gt;</description>
      <pubDate>Thu, 15 Dec 2016 22:05:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/calculate-odds-ratios-for-several-predictors/m-p/33750#M20019</guid>
      <dc:creator>Thaelina</dc:creator>
      <dc:date>2016-12-15T22:05:32Z</dc:date>
    </item>
  </channel>
</rss>

