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    <title>topic Re: trend p-value using the Cochran-Armitage test in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961626#M48178</link>
    <description>&lt;P&gt;Yes. As long as your contingency table is 2xC or Rx2 , you can do&amp;nbsp;Cochran-Armitage test.&lt;/P&gt;
&lt;P&gt;But you need transform your data into this structure:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_0-1741749784624.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/105358iEF3A89A23C17D57C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_0-1741749784624.png" alt="Ksharp_0-1741749784624.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_1-1741749811062.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/105359i78D80B672A8DD794/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_1-1741749811062.png" alt="Ksharp_1-1741749811062.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 12 Mar 2025 03:27:15 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2025-03-12T03:27:15Z</dc:date>
    <item>
      <title>trend p-value using the Cochran-Armitage test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961620#M48177</link>
      <description>&lt;P&gt;I have a simple dataset. Is it possible to obtain&amp;nbsp;a p-value using the Cochran-Armitage test?&amp;nbsp; The following is the table:&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;STRONG&gt;Group&lt;/STRONG&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&lt;STRONG&gt;Successes&lt;/STRONG&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&lt;STRONG&gt;Total Trials&lt;/STRONG&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;&lt;STRONG&gt;Proportion&lt;/STRONG&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;1&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;20&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;500&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;0.04&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;2&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;30&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;1000&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;0.03&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;3&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;40&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;500&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;0.08&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;</description>
      <pubDate>Wed, 12 Mar 2025 02:39:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961620#M48177</guid>
      <dc:creator>fanuser</dc:creator>
      <dc:date>2025-03-12T02:39:37Z</dc:date>
    </item>
    <item>
      <title>Re: trend p-value using the Cochran-Armitage test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961626#M48178</link>
      <description>&lt;P&gt;Yes. As long as your contingency table is 2xC or Rx2 , you can do&amp;nbsp;Cochran-Armitage test.&lt;/P&gt;
&lt;P&gt;But you need transform your data into this structure:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_0-1741749784624.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/105358iEF3A89A23C17D57C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_0-1741749784624.png" alt="Ksharp_0-1741749784624.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_1-1741749811062.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/105359i78D80B672A8DD794/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_1-1741749811062.png" alt="Ksharp_1-1741749811062.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 12 Mar 2025 03:27:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961626#M48178</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2025-03-12T03:27:15Z</dc:date>
    </item>
    <item>
      <title>Re: trend p-value using the Cochran-Armitage test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961671#M48182</link>
      <description>How can I restructure my data to match the format you mentioned? I don't have any additional information.&lt;BR /&gt;Thanks!</description>
      <pubDate>Wed, 12 Mar 2025 13:12:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961671#M48182</guid>
      <dc:creator>fanuser</dc:creator>
      <dc:date>2025-03-12T13:12:42Z</dc:date>
    </item>
    <item>
      <title>Re: trend p-value using the Cochran-Armitage test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961672#M48183</link>
      <description>&lt;P&gt;You have all the information you need.&amp;nbsp; You will just need to restructure your data set like the following:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data test;
input Group Successes Total;
cards; 
1 20 500 
2 30 1000
3 40 500
;
run;
data test2;
set test;
resp='y';ct=successes;output;
resp='n';ct=total-successes;output;
run;

proc freq data=test2 order=data;
weight ct;
tables resp*group/trend;
run;

&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 12 Mar 2025 13:18:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961672#M48183</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2025-03-12T13:18:10Z</dc:date>
    </item>
    <item>
      <title>Re: trend p-value using the Cochran-Armitage test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961673#M48184</link>
      <description>Thank you very much for providing such a wonderful solution!</description>
      <pubDate>Wed, 12 Mar 2025 13:30:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/trend-p-value-using-the-Cochran-Armitage-test/m-p/961673#M48184</guid>
      <dc:creator>fanuser</dc:creator>
      <dc:date>2025-03-12T13:30:12Z</dc:date>
    </item>
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