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    <title>topic Re: Statistical test for binary independent variables in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269541#M14193</link>
    <description>&lt;P&gt;Could you tell us what you are testing for?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;A common test is for association. For tests of association, you might want to &lt;A href="http://support.sas.com/documentation/cdl/en/procstat/68142/HTML/default/viewer.htm#procstat_freq_details08.htm" target="_self"&gt;run a chi-square test by using PROC FREQ.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can use PROC LOGISTIC if you want to create a model that predicts the probability of the response variable for each level of the explanatory variable.&lt;/P&gt;</description>
    <pubDate>Tue, 10 May 2016 18:29:25 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2016-05-10T18:29:25Z</dc:date>
    <item>
      <title>Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269537#M14190</link>
      <description>&lt;P&gt;Dear SAS experts,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Could you please tell me the statistical test that suits for&amp;nbsp;binary independent variables and&amp;nbsp;binary dependent variable? Would logistic regression be appropriate?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 10 May 2016 18:18:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269537#M14190</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2016-05-10T18:18:43Z</dc:date>
    </item>
    <item>
      <title>Re: Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269540#M14192</link>
      <description>&lt;P&gt;Look into PROC CATMOD.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/rnd/app/stat/procedures/catmod.html" target="_blank"&gt;https://support.sas.com/rnd/app/stat/procedures/catmod.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 10 May 2016 18:27:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269540#M14192</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-05-10T18:27:14Z</dc:date>
    </item>
    <item>
      <title>Re: Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269541#M14193</link>
      <description>&lt;P&gt;Could you tell us what you are testing for?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;A common test is for association. For tests of association, you might want to &lt;A href="http://support.sas.com/documentation/cdl/en/procstat/68142/HTML/default/viewer.htm#procstat_freq_details08.htm" target="_self"&gt;run a chi-square test by using PROC FREQ.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can use PROC LOGISTIC if you want to create a model that predicts the probability of the response variable for each level of the explanatory variable.&lt;/P&gt;</description>
      <pubDate>Tue, 10 May 2016 18:29:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269541#M14193</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-05-10T18:29:25Z</dc:date>
    </item>
    <item>
      <title>Re: Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269649#M14199</link>
      <description>&lt;P&gt;One more way is using Decision Tree, if you have it .&lt;/P&gt;</description>
      <pubDate>Wed, 11 May 2016 06:53:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/269649#M14199</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-05-11T06:53:00Z</dc:date>
    </item>
    <item>
      <title>Re: Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/270152#M14211</link>
      <description>&lt;P&gt;For most purposes, PROC LOGISTIC is the procedure to use. &amp;nbsp;It is definitely recommended, rather than CATMOD, for logistic modeling. &lt;A href="http://support.sas.com/kb/22871" target="_self"&gt;This note&lt;/A&gt; describes the many possibilities.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 12 May 2016 19:22:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/270152#M14211</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2016-05-12T19:22:44Z</dc:date>
    </item>
    <item>
      <title>Re: Statistical test for binary independent variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/270328#M14223</link>
      <description>If you want to build a predictive model than proc logistic would be suited. There are several other statistical tests for categorical data .so ultimately depends upon what you are testing for .</description>
      <pubDate>Fri, 13 May 2016 12:49:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Statistical-test-for-binary-independent-variables/m-p/270328#M14223</guid>
      <dc:creator>DineshK1493</dc:creator>
      <dc:date>2016-05-13T12:49:07Z</dc:date>
    </item>
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