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    <title>topic Re: Proc surveylogistic and proc logistic in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/783309#M38467</link>
    <description>&lt;P&gt;Great, thank you very much!&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;TWu&lt;/P&gt;</description>
    <pubDate>Wed, 01 Dec 2021 02:33:17 GMT</pubDate>
    <dc:creator>Sas_User_TWu</dc:creator>
    <dc:date>2021-12-01T02:33:17Z</dc:date>
    <item>
      <title>Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781903#M38410</link>
      <description>&lt;P&gt;Hi&lt;/P&gt;&lt;P&gt;I wonder why running proc logistic without weight statement and proc surveylogistic without weight statement will have different SE/variance as both weight would be treated as default 1?&amp;nbsp;E.G. code A vs code B below.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;A. Proc logistic data=xyz;&amp;nbsp; /*ignore sample survey weight*/&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; model Y=x1-x8/link=glogit;&lt;/P&gt;&lt;P&gt;&amp;nbsp; run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;B. Proc surveylogistic data=xyz;&amp;nbsp;/*ignore sample survey weight*/&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; model Y=x1-x8/link=glogit;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also, what is the harm/negative consequences that I only apply proc logistic without weight to build a model against sample survey with known designed weight(variable) instead of apply proc surveylogistic together with weight statement, which is SAS document/procedure recommended way.&amp;nbsp;E.G. code A vs code C below.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;A. Proc logistic data=xyz;&amp;nbsp; /*ignore sample survey weight*/&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; model Y=x1-x8/link=glogit;&lt;/P&gt;&lt;P&gt;&amp;nbsp; run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;C. Proc surveylogistic data=xyz;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; model Y=x1-x8/link=glogit;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; weight w;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;TWU&lt;/P&gt;</description>
      <pubDate>Tue, 23 Nov 2021 11:15:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781903#M38410</guid>
      <dc:creator>Sas_User_TWu</dc:creator>
      <dc:date>2021-11-23T11:15:44Z</dc:date>
    </item>
    <item>
      <title>Re: Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781947#M38412</link>
      <description>&lt;P&gt;This has to do with the manner in which the SE themselves are calculated.&amp;nbsp; SURVEYLOGISTIC uses (by default) a Taylor Series approximation which readily accomodates weights, strata and clusters.&amp;nbsp; SURVEYLOGISTIC is built for complex survey data so when you don't have any of the design effects adjusted for, there is no reason to use it.&amp;nbsp; The documentation has more details on the variance estimation.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_surveylogistic_details27.htm#statug.surveylogistic.taylordetails" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_surveylogistic_details27.htm#statug.surveylogistic.taylordetails&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;LOGISTIC on the other hand uses maximum likelihood for the variance estimation.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_logistic_details05.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_logistic_details05.htm&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Nov 2021 13:59:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781947#M38412</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2021-11-23T13:59:13Z</dc:date>
    </item>
    <item>
      <title>Re: Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781949#M38413</link>
      <description>&lt;P&gt;To answer your question regarding the harm, you will be biasing your results by ignoring any of the design effects.&amp;nbsp; To what extent they are bias can be somewhat quantified by calculating the design effect.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_surveylogistic_details40.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_surveylogistic_details40.htm&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Nov 2021 14:01:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/781949#M38413</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2021-11-23T14:01:40Z</dc:date>
    </item>
    <item>
      <title>Re: Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/782378#M38427</link>
      <description>&lt;P&gt;Thanks Rob,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Am I understand correctly that without weight statement, Taylor series approximation will end up with different variance/SE from fisher score method.&lt;/P&gt;&lt;P&gt;TWU&lt;/P&gt;</description>
      <pubDate>Wed, 24 Nov 2021 23:07:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/782378#M38427</guid>
      <dc:creator>Sas_User_TWu</dc:creator>
      <dc:date>2021-11-24T23:07:44Z</dc:date>
    </item>
    <item>
      <title>Re: Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/782687#M38439</link>
      <description>Yes, they can be different even when there is no weight variable.&lt;BR /&gt;</description>
      <pubDate>Sat, 27 Nov 2021 18:24:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/782687#M38439</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2021-11-27T18:24:20Z</dc:date>
    </item>
    <item>
      <title>Re: Proc surveylogistic and proc logistic</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/783309#M38467</link>
      <description>&lt;P&gt;Great, thank you very much!&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;TWu&lt;/P&gt;</description>
      <pubDate>Wed, 01 Dec 2021 02:33:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-surveylogistic-and-proc-logistic/m-p/783309#M38467</guid>
      <dc:creator>Sas_User_TWu</dc:creator>
      <dc:date>2021-12-01T02:33:17Z</dc:date>
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