https://communities.sas.com/t5/SAS-Procedures/Procedure-for-dichotomous-outcome-and-multilevel-data/m-p/346730#M63580 <P>We are trying to decide the best procedure to use for dichotomous outcomes (whether students reached academic standard/score or not). The data we have is multilevel (students nested within schools). Does anyone have recommendation on the best procedure to use? Can PROC LOGISTIC handle multilevel analysis?&nbsp;</P> Mon, 03 Apr 2017 15:54:48 GMT wfung 2017-04-03T15:54:48Z https://communities.sas.com/t5/SAS-Procedures/Procedure-for-dichotomous-outcome-and-multilevel-data/m-p/346730#M63580 <P>We are trying to decide the best procedure to use for dichotomous outcomes (whether students reached academic standard/score or not). The data we have is multilevel (students nested within schools). Does anyone have recommendation on the best procedure to use? Can PROC LOGISTIC handle multilevel analysis?&nbsp;</P> Mon, 03 Apr 2017 15:54:48 GMT https://communities.sas.com/t5/SAS-Procedures/Procedure-for-dichotomous-outcome-and-multilevel-data/m-p/346730#M63580 wfung 2017-04-03T15:54:48Z https://communities.sas.com/t5/SAS-Procedures/Procedure-for-dichotomous-outcome-and-multilevel-data/m-p/346914#M63596 <P><SPAN> PROC LOGISTIC can NOT handle multilevel analysis.</SPAN></P> <P><SPAN>For nested effect data, I suggest use GEE model (PROC GEE or PROC GENMOD + REPEATED)</SPAN></P> <P><SPAN>or GLMM model(proc glimmix) .</SPAN></P> <P>&nbsp;</P> <P>&nbsp;</P> Tue, 04 Apr 2017 03:19:28 GMT https://communities.sas.com/t5/SAS-Procedures/Procedure-for-dichotomous-outcome-and-multilevel-data/m-p/346914#M63596 Ksharp 2017-04-04T03:19:28Z