<?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: 1-sided CMH in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/384643#M20004</link>
    <description>&lt;P&gt;Although a one-sided CMH test isn't built-in to PROC FREQ, you can&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1. Program the test yourself if you know the distribution of the test statistic&lt;/P&gt;
&lt;P&gt;2. Use Monte Carlo simulation to estimate the one-sided p-value, provided that you can sample from the null hypothesis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For an example of simulating a test for a contingency table, see&lt;/P&gt;
&lt;P&gt;&lt;A href="http://blogs.sas.com/content/iml/2015/10/28/simulation-exact-tables.html" target="_self"&gt;"Monte Carlo simulation for contingency tables in SAS."&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;The article links to other articles that describe how to simulate tables that are subject to various&amp;nbsp;assumptions, such as fixed N or fixed marginal frequencies.&lt;/P&gt;</description>
    <pubDate>Tue, 01 Aug 2017 15:30:36 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2017-08-01T15:30:36Z</dc:date>
    <item>
      <title>1-sided CMH</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/375356#M19672</link>
      <description>&lt;P&gt;Looking for general information about 1-sided CMH tests. Also if anyone has any code with regards to this test that would be helpful.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;can use variables strata*treatment*outcome.&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jul 2017 15:11:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/375356#M19672</guid>
      <dc:creator>darb</dc:creator>
      <dc:date>2017-07-12T15:11:18Z</dc:date>
    </item>
    <item>
      <title>Re: 1-sided CMH</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/384629#M20003</link>
      <description>&lt;P&gt;Each of the three tests that Proc FREQ reports has a very specific alternate hypothesis that is inherently two-sided. &amp;nbsp;While I suppose the Row Means score differ and the Correlation statistic could have a one-sided alternative, I have never seen these defined anywhere. &amp;nbsp;In any regard, there is no way in SAS to get them.&lt;/P&gt;</description>
      <pubDate>Tue, 01 Aug 2017 14:43:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/384629#M20003</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2017-08-01T14:43:47Z</dc:date>
    </item>
    <item>
      <title>Re: 1-sided CMH</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/384643#M20004</link>
      <description>&lt;P&gt;Although a one-sided CMH test isn't built-in to PROC FREQ, you can&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1. Program the test yourself if you know the distribution of the test statistic&lt;/P&gt;
&lt;P&gt;2. Use Monte Carlo simulation to estimate the one-sided p-value, provided that you can sample from the null hypothesis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For an example of simulating a test for a contingency table, see&lt;/P&gt;
&lt;P&gt;&lt;A href="http://blogs.sas.com/content/iml/2015/10/28/simulation-exact-tables.html" target="_self"&gt;"Monte Carlo simulation for contingency tables in SAS."&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;The article links to other articles that describe how to simulate tables that are subject to various&amp;nbsp;assumptions, such as fixed N or fixed marginal frequencies.&lt;/P&gt;</description>
      <pubDate>Tue, 01 Aug 2017 15:30:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/1-sided-CMH/m-p/384643#M20004</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2017-08-01T15:30:36Z</dc:date>
    </item>
  </channel>
</rss>

