Programming the statistical procedures from SAS

mixed censored model

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Learner
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mixed censored model

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?

Respected Advisor
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Re: mixed censored model

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.

 

Steve Denham

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