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    <title>topic Re: Procedure GLM in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89725#M25607</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Since you talk about binomial variables , Or maybe you can consider using proc reg.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;"in analysis with binomials variables."&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;About your question, you need to check residual item of your model , to see whether your model has &lt;A class="ref" href="https://communities.sas.com/" title="查找: heteroscedasticity"&gt;https://communities.sas.com/dict://key.0895DFE8DB67F9409DB285590D870EDD/heteroscedasticity&lt;/A&gt;heteroscedasticity. i.e. your residual item like a curve or increasing or decreasing .&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;Ksharp&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 25 Jun 2012 02:10:43 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2012-06-25T02:10:43Z</dc:date>
    <item>
      <title>Procedure GLM</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89722#M25604</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need use GLM for check the&amp;nbsp; linear, cubic, quadratic effects in analysis with binomials variables.&lt;/P&gt;&lt;P&gt;Any people can help me, please?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 22 Jun 2012 03:49:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89722#M25604</guid>
      <dc:creator>Amanda</dc:creator>
      <dc:date>2012-06-22T03:49:56Z</dc:date>
    </item>
    <item>
      <title>Re: Procedure GLM</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89723#M25605</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello Amanda,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Could you give a reasonably full description of your experimental design?&amp;nbsp; With that info, there are several in the community who will be able to help.&amp;nbsp; However, with what you have given so far, it is hard to help--in fact, I can't even say that PROC GLM is the best tool for what you wish to accomplish.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope this will get you to post a more complete question.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 22 Jun 2012 12:07:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89723#M25605</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2012-06-22T12:07:28Z</dc:date>
    </item>
    <item>
      <title>Re: Procedure GLM</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89724#M25606</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Are the binomial variables the predictor variables (X), or the response variables (Y)?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 22 Jun 2012 13:26:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89724#M25606</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2012-06-22T13:26:03Z</dc:date>
    </item>
    <item>
      <title>Re: Procedure GLM</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89725#M25607</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Since you talk about binomial variables , Or maybe you can consider using proc reg.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;"in analysis with binomials variables."&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;About your question, you need to check residual item of your model , to see whether your model has &lt;A class="ref" href="https://communities.sas.com/" title="查找: heteroscedasticity"&gt;https://communities.sas.com/dict://key.0895DFE8DB67F9409DB285590D870EDD/heteroscedasticity&lt;/A&gt;heteroscedasticity. i.e. your residual item like a curve or increasing or decreasing .&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;&lt;/P&gt;&lt;P style="margin: 4px 0pt;"&gt;Ksharp&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 25 Jun 2012 02:10:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Procedure-GLM/m-p/89725#M25607</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2012-06-25T02:10:43Z</dc:date>
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