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    <title>topic Re: Complex sample analysis with proc genmod in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861929#M42607</link>
    <description>&lt;P&gt;My suggestion would be to take the same approach as the example in the link below.&amp;nbsp; You would just change the GENMOD code to reflect the DIST=BIN and LINK=LOG options.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/rnd/app/stat/examples/SurveyPoisson/surveypoisson.htm" target="_blank"&gt;SAS/STAT Poisson Regressions for Complex Surveys&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 02 Mar 2023 12:47:49 GMT</pubDate>
    <dc:creator>SAS_Rob</dc:creator>
    <dc:date>2023-03-02T12:47:49Z</dc:date>
    <item>
      <title>Complex sample analysis with proc genmod</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861902#M42606</link>
      <description>&lt;P&gt;Hi SAS procedure community,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a survey data that i want to calculate the relative risk. I know i can implement this in SAS proc genmod using dist=binomial and link=log option. However i want to account for the complex sample design (design weight, strata and cluster).&amp;nbsp;&lt;/P&gt;&lt;P&gt;I saw the&amp;nbsp;%surveygenmod macro which is the sas version of svyglm in R. The macro isn't already in SAS. Can anyone direct me on how I can get this uploaded in my SAS environment for use?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Thu, 02 Mar 2023 07:02:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861902#M42606</guid>
      <dc:creator>ChuksManuel</dc:creator>
      <dc:date>2023-03-02T07:02:36Z</dc:date>
    </item>
    <item>
      <title>Re: Complex sample analysis with proc genmod</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861929#M42607</link>
      <description>&lt;P&gt;My suggestion would be to take the same approach as the example in the link below.&amp;nbsp; You would just change the GENMOD code to reflect the DIST=BIN and LINK=LOG options.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/rnd/app/stat/examples/SurveyPoisson/surveypoisson.htm" target="_blank"&gt;SAS/STAT Poisson Regressions for Complex Surveys&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 02 Mar 2023 12:47:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861929#M42607</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2023-03-02T12:47:49Z</dc:date>
    </item>
    <item>
      <title>Re: Complex sample analysis with proc genmod</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861965#M42608</link>
      <description>&lt;P&gt;You should be able to do this by using PROC SURVEYLOGISTIC to fit a logistic model and then use the NLMeans macro as shown in &lt;A href="https://support.sas.com/kb/23/003.html" target="_self"&gt;this note&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Thu, 02 Mar 2023 15:26:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861965#M42608</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2023-03-02T15:26:00Z</dc:date>
    </item>
    <item>
      <title>Re: Complex sample analysis with proc genmod</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861975#M42611</link>
      <description>Thanks!</description>
      <pubDate>Thu, 02 Mar 2023 16:04:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Complex-sample-analysis-with-proc-genmod/m-p/861975#M42611</guid>
      <dc:creator>ChuksManuel</dc:creator>
      <dc:date>2023-03-02T16:04:52Z</dc:date>
    </item>
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