https://communities.sas.com/t5/Statistical-Procedures/mixed-censored-model/m-p/318665#M16870 <P>Hi. I'm looking to use a model with a random classification term and another fixed or random classification effect, using a model that natively or descriptively censors at zero (the distributional field is left-skewed). QLIM handles censoring and classification effects but not random effects, while NLMIXED handles censored models with random effects but not class variables. Does anyone have a rough idea or model for a system that covers censored dependent variables with random classification effects?</P> Tue, 13 Dec 2016 18:32:15 GMT gperry 2016-12-13T18:32:15Z https://communities.sas.com/t5/Statistical-Procedures/mixed-censored-model/m-p/318665#M16870 <P>Hi. I'm looking to use a model with a random classification term and another fixed or random classification effect, using a model that natively or descriptively censors at zero (the distributional field is left-skewed). QLIM handles censoring and classification effects but not random effects, while NLMIXED handles censored models with random effects but not class variables. Does anyone have a rough idea or model for a system that covers censored dependent variables with random classification effects?</P> Tue, 13 Dec 2016 18:32:15 GMT https://communities.sas.com/t5/Statistical-Procedures/mixed-censored-model/m-p/318665#M16870 gperry 2016-12-13T18:32:15Z https://communities.sas.com/t5/Statistical-Procedures/mixed-censored-model/m-p/320787#M16943 <P>NLMIXED will handle class variables, you just might have to preprocess your dataset with PROC GLMMOD to get all of the dummy variables needed to fit your model.</P> <P>&nbsp;</P> <P>Steve Denham</P> Thu, 22 Dec 2016 18:12:32 GMT https://communities.sas.com/t5/Statistical-Procedures/mixed-censored-model/m-p/320787#M16943 SteveDenham 2016-12-22T18:12:32Z