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    <title>topic Re: Should I suppress the intercept when using the strata statement in proc surveylogistic? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378145#M19857</link>
    <description>&lt;P&gt;The STRATA statement in the two procedures have very different functionality attached to them. &amp;nbsp;In Proc SURVEYLOGISTIC, it is used to identify the strata for a complex survey design. &amp;nbsp;In Proc LOGISTIC, it is used to idenitfy the matched pairs for running models with n:m matching.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Put another way, the STRATA statement in LOGISTIC runs a stratified logistic regression while in SURVEYLOGISTIC it runs a logistic regression from a stratified sample.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Unless you had reason to restrict the intercept to zero in SURVEYLOGISTIC, you would not want to use the NOINT option.&lt;/P&gt;</description>
    <pubDate>Fri, 21 Jul 2017 13:50:06 GMT</pubDate>
    <dc:creator>SAS_Rob</dc:creator>
    <dc:date>2017-07-21T13:50:06Z</dc:date>
    <item>
      <title>Should I suppress the intercept when using the strata statement in proc surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/374176#M19600</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Do I need to suppress the intercept in proc&amp;nbsp;&lt;/SPAN&gt;surveylogistic&lt;SPAN&gt;&amp;nbsp;when using the strata statement to avoid the dummy variable trap (SAS 9.4)? I see that when I use the strata statement with proc logistic, the model automatically suppresses the intercept. &amp;nbsp;When I use the strata statement with proc&amp;nbsp;&lt;/SPAN&gt;surveylogistic&lt;SPAN&gt;, the intercept is not suppressed, and I get very different coefficient estimates on other variables of interest. &amp;nbsp;Why do proc logistic and proc&amp;nbsp;&lt;/SPAN&gt;surveylogistic&lt;SPAN&gt;&amp;nbsp;handle the intercept differently under the Strata statement?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 08 Jul 2017 15:58:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/374176#M19600</guid>
      <dc:creator>rachard11</dc:creator>
      <dc:date>2017-07-08T15:58:25Z</dc:date>
    </item>
    <item>
      <title>Re: Should I suppress the intercept when using the strata statement in proc surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378145#M19857</link>
      <description>&lt;P&gt;The STRATA statement in the two procedures have very different functionality attached to them. &amp;nbsp;In Proc SURVEYLOGISTIC, it is used to identify the strata for a complex survey design. &amp;nbsp;In Proc LOGISTIC, it is used to idenitfy the matched pairs for running models with n:m matching.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Put another way, the STRATA statement in LOGISTIC runs a stratified logistic regression while in SURVEYLOGISTIC it runs a logistic regression from a stratified sample.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Unless you had reason to restrict the intercept to zero in SURVEYLOGISTIC, you would not want to use the NOINT option.&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jul 2017 13:50:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378145#M19857</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2017-07-21T13:50:06Z</dc:date>
    </item>
    <item>
      <title>Re: Should I suppress the intercept when using the strata statement in proc surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378180#M19862</link>
      <description>Thank you.  My understanding is that the strata statement in proc logistic is what I should use to implement a fixed effects model with panel data. Is there a way to also cluster standard errors with this model in SAS? This was my intent when I originally tried using the strata statement in proc surveylogistic (along with the cluster statement).</description>
      <pubDate>Fri, 21 Jul 2017 15:04:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378180#M19862</guid>
      <dc:creator>rachard11</dc:creator>
      <dc:date>2017-07-21T15:04:18Z</dc:date>
    </item>
    <item>
      <title>Re: Should I suppress the intercept when using the strata statement in proc surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378254#M19865</link>
      <description>&lt;P&gt;You might also consider looking at GENMOD with the REPEATED statement because GEE models do not require estimation of a parameter for each set of correlated observations (i.e. panels).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;LOGISTIC with the STRATA statement uses a conditional model (&lt;SPAN&gt;or GENMOD with the STRATA and EXACT statements in GENMOD for exact, conditional estimation for other models--this approach obviously wouldn't work with the REPEATED statement)&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Either way SURVEYLOGISTIC would not be what you would want to use.as can be done by using the STRATA statement in PROC LOGISTIC for logistic models&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 21 Jul 2017 17:20:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Should-I-suppress-the-intercept-when-using-the-strata-statement/m-p/378254#M19865</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2017-07-21T17:20:27Z</dc:date>
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