Imputation and perfect prediction
Posted: Wed Dec 10, 2014 11:47 am
Hi,
I am developing a multi-level imputation model for several categorical variables and want to include many predictor variables in the model. How does REALCOM IMPUTE cope with perfect prediction? I am anticipating PP to be an issue, and read in the book 'Multiple Imputation and Its Application' (Carpenter & Kenward) that a method to cope with this issue in the maximum indicant model is to bound acceptable draws for the latent normal variables being imputed. Is this method included in the software, or does it need to be implemented manually?
Thanks
I am developing a multi-level imputation model for several categorical variables and want to include many predictor variables in the model. How does REALCOM IMPUTE cope with perfect prediction? I am anticipating PP to be an issue, and read in the book 'Multiple Imputation and Its Application' (Carpenter & Kenward) that a method to cope with this issue in the maximum indicant model is to bound acceptable draws for the latent normal variables being imputed. Is this method included in the software, or does it need to be implemented manually?
Thanks