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    <title>topic Re: How to perfrom random effect model with Poisson regression with robust estimator? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perfrom-random-effect-model-with-Poisson-regression-with/m-p/876657#M43335</link>
    <description>&lt;P&gt;You might use PARMS statement to specify your own starting values for the two variance components. For example,&lt;/P&gt;
&lt;P&gt;parms (0.1)(0.05);&lt;/P&gt;
&lt;P&gt;This could take several trial and error.&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Jill&lt;/P&gt;</description>
    <pubDate>Fri, 19 May 2023 13:19:58 GMT</pubDate>
    <dc:creator>jiltao</dc:creator>
    <dc:date>2023-05-19T13:19:58Z</dc:date>
    <item>
      <title>How to perfrom random effect model with Poisson regression with robust estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perfrom-random-effect-model-with-Poisson-regression-with/m-p/876605#M43332</link>
      <description>&lt;P&gt;I am using proc glimmix but my model is not converging for two random effect however running without error but one warning:&lt;/P&gt;&lt;P&gt;WARNING: Obtaining minimum variance quadratic unbiased estimates as starting values for the covariance parameters failed.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc glimmix data=remi.final_rem_gv method=quad;&lt;BR /&gt;class phc_name village gender;&lt;BR /&gt;model remission = gender/ s dist=poisson link=log offset=duration ddfm=none;&lt;BR /&gt;RANDOM INTERCEPT / SUBJECT=phc_name S CL TYPE=VC;&lt;BR /&gt;RANDOM INTERCEPT / SUBJECT=village(PHC_NAME) S CL TYPE=VC;&lt;BR /&gt;COVTEST /wald;&lt;BR /&gt;ods output estimates=est1 (keep= label ExpEstimate ExpLower Expupper Probt&lt;BR /&gt;rename=(ExpEstimate=or ExpLower=lower Expupper=upper Probt=pval)) CovParms=CovParms ;&lt;BR /&gt;run;&lt;/P&gt;</description>
      <pubDate>Fri, 19 May 2023 06:38:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-perfrom-random-effect-model-with-Poisson-regression-with/m-p/876605#M43332</guid>
      <dc:creator>Gayatriv</dc:creator>
      <dc:date>2023-05-19T06:38:33Z</dc:date>
    </item>
    <item>
      <title>Re: How to perfrom random effect model with Poisson regression with robust estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perfrom-random-effect-model-with-Poisson-regression-with/m-p/876657#M43335</link>
      <description>&lt;P&gt;You might use PARMS statement to specify your own starting values for the two variance components. For example,&lt;/P&gt;
&lt;P&gt;parms (0.1)(0.05);&lt;/P&gt;
&lt;P&gt;This could take several trial and error.&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Jill&lt;/P&gt;</description>
      <pubDate>Fri, 19 May 2023 13:19:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-perfrom-random-effect-model-with-Poisson-regression-with/m-p/876657#M43335</guid>
      <dc:creator>jiltao</dc:creator>
      <dc:date>2023-05-19T13:19:58Z</dc:date>
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