<?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: Question about TOST and the H0 option in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252261#M13317</link>
    <description>&lt;P&gt;What does your sample data look like ?&lt;/P&gt;</description>
    <pubDate>Thu, 25 Feb 2016 00:57:45 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2016-02-25T00:57:45Z</dc:date>
    <item>
      <title>Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252260#M13316</link>
      <description>&lt;P&gt;I have data on alcohol use in people at various points in time and I want to test that it has not changed.&amp;nbsp; I decided that a change of less than 1/2 sd in either direction is "equivalent" and the sd at the earlier point is 0.10. Is the following code correct or do I need an H0 = option?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;title3 "Alcohol";
proc ttest data= ibogaine test = diff tost(0.05);
   paired alcohol_3_months*alcohol_6_months&lt;BR /&gt;          alcohol_3_months*alcohol_9_months &lt;BR /&gt;          alcohol_3_months*alcohol_12_months;
run;&lt;/PRE&gt;</description>
      <pubDate>Thu, 25 Feb 2016 00:31:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252260#M13316</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2016-02-25T00:31:22Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252261#M13317</link>
      <description>&lt;P&gt;What does your sample data look like ?&lt;/P&gt;</description>
      <pubDate>Thu, 25 Feb 2016 00:57:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252261#M13317</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-02-25T00:57:45Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252263#M13318</link>
      <description>&lt;P&gt;It is a bunch of scores on an alcohol dependency measure.&amp;nbsp; The scores are continuous and more-or-less normally distributed.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Feb 2016 01:04:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252263#M13318</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2016-02-25T01:04:54Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252273#M13319</link>
      <description>&lt;P&gt;You are doing multi-comparsion that would increase the first type error (Alpha). I don't think that is a good idea.&lt;/P&gt;
&lt;P&gt;Can you use ANOVA to do such&amp;nbsp;&lt;SPAN&gt; multi-comparsion ?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Or Check Rick's non-parameter method - RESAMPLE :&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;A href="http://blogs.sas.com/content/iml/2014/11/21/resampling-in-sas.html" target="_blank"&gt;http://blogs.sas.com/content/iml/2014/11/21/resampling-in-sas.html&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Feb 2016 02:29:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252273#M13319</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-02-25T02:29:36Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252348#M13320</link>
      <description>&lt;P&gt;ANOVA would do just as many comparisons, wouldn't it?&lt;/P&gt;</description>
      <pubDate>Thu, 25 Feb 2016 11:25:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252348#M13320</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2016-02-25T11:25:36Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252590#M13325</link>
      <description>&lt;P&gt;Yes. You can use Schette or others method . &amp;nbsp;Check &amp;nbsp;MEANS or LSMEANS statement of PROC GLM .&lt;/P&gt;
&lt;P&gt;ANOVA is designed for many groups , but TTEST is designed for two groups.&lt;/P&gt;</description>
      <pubDate>Fri, 26 Feb 2016 00:58:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252590#M13325</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-02-26T00:58:21Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252651#M13327</link>
      <description>No, PROC GLM cannot do tests of equivalence as far as I can see. &amp;nbsp;In fact, since doing these requires doing one sided tests, I don't think it's even theoretically possible to do multiple tests at once. You need to do two at a time with t tests (or some nonparametric equivalent )&lt;BR /&gt;Peter&amp;nbsp;</description>
      <pubDate>Fri, 26 Feb 2016 03:59:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/252651#M13327</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2016-02-26T03:59:52Z</dc:date>
    </item>
    <item>
      <title>Re: Question about TOST and the H0 option</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/260040#M13743</link>
      <description>&lt;P&gt;Hi Peter,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;With the TOST option, the H0 option specifies the upper and lower equivalence bounds, so I would include it.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The one thing I would consider here is that the tests are not independent. &amp;nbsp;It seems to me that there is likely a pretty strong correlation over time within subjects. &amp;nbsp;I think that is what Xia is getting at in his comments.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The problem is that there is no real straightforward analog of Schuirman's approach when constructing simultaneous confidence intervals. &amp;nbsp;The best I can think of is to use something like PROC MIXED, use the LSMESTIMATE statement for the three comparisons with appropriate ADJUST=, &amp;nbsp;CL, and ALPHA= options. &amp;nbsp;As far as the adjustment method, ADJUST=SCHEFFE strikes me as the best for confidence bounds.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Steve Denham&lt;/P&gt;</description>
      <pubDate>Wed, 30 Mar 2016 12:11:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-TOST-and-the-H0-option/m-p/260040#M13743</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2016-03-30T12:11:57Z</dc:date>
    </item>
  </channel>
</rss>

