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    <title>topic Account for time-varying covariates in conditional logistic regression analysis in SAS in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609688#M29519</link>
    <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; I meet a problem by doing a nest-case control study. Since both cases and controls are from a cohort and have exposures information in time-dependent manner, just wonder how to account for these time-dependent covariates in the conditional logistic regression analysis.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;Is the way in conditional regression similar as COX regression?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC PHREG DATA = count;&lt;BR /&gt;MODEL (start, stop)*censor(0) = sex marital age weight height;&lt;BR /&gt;STRATA id;&lt;BR /&gt;RUN;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Thank you.&lt;/P&gt;&lt;P&gt;Sincerely.&lt;BR /&gt;&amp;nbsp;Yelson, Tseng, MD&lt;/P&gt;</description>
    <pubDate>Thu, 05 Dec 2019 14:25:06 GMT</pubDate>
    <dc:creator>zinojeng</dc:creator>
    <dc:date>2019-12-05T14:25:06Z</dc:date>
    <item>
      <title>Account for time-varying covariates in conditional logistic regression analysis in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609688#M29519</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; I meet a problem by doing a nest-case control study. Since both cases and controls are from a cohort and have exposures information in time-dependent manner, just wonder how to account for these time-dependent covariates in the conditional logistic regression analysis.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;Is the way in conditional regression similar as COX regression?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC PHREG DATA = count;&lt;BR /&gt;MODEL (start, stop)*censor(0) = sex marital age weight height;&lt;BR /&gt;STRATA id;&lt;BR /&gt;RUN;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Thank you.&lt;/P&gt;&lt;P&gt;Sincerely.&lt;BR /&gt;&amp;nbsp;Yelson, Tseng, MD&lt;/P&gt;</description>
      <pubDate>Thu, 05 Dec 2019 14:25:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609688#M29519</guid>
      <dc:creator>zinojeng</dc:creator>
      <dc:date>2019-12-05T14:25:06Z</dc:date>
    </item>
    <item>
      <title>Re: Account for time-varying covariates in conditional logistic regression analysis in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609793#M29523</link>
      <description>&lt;P&gt;You can also fit the conditional model by using a STRATA statement in PROC LOGISTIC. See the example in the LOGISTIC documentation. The predictors do not have to be fixed within a stratum, so you can simply include the time-varying predictors along with the others in your model.&lt;/P&gt;</description>
      <pubDate>Thu, 05 Dec 2019 20:03:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609793#M29523</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2019-12-05T20:03:08Z</dc:date>
    </item>
    <item>
      <title>Re: Account for time-varying covariates in conditional logistic regression analysis in SAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609932#M29532</link>
      <description>&lt;P&gt;I think you should use PROC GLIMMIX , put ID and TIME variables into random / repeated statement.&lt;/P&gt;</description>
      <pubDate>Fri, 06 Dec 2019 12:36:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Account-for-time-varying-covariates-in-conditional-logistic/m-p/609932#M29532</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-12-06T12:36:59Z</dc:date>
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