Full Information Maximum Likelihood (FIML) for nested binary outcome analysis with missing data

[Haris]

Does SAS currently have PROC that can can use Full Information Maximum Likelihood (FIML) to analyze datasets with missing data and binary nested outcomes.  I am working with an outcome of mortality in patients nested in hospitals with missing patient-level data.  Currently we use GLIMMIX to run a mixed effects model and PROC MI/ANALYZE to impute the data.  I know CALIS and MIXED have METHOD=FIML available but previously, SAS could not handle logistic regression.

Thanks for any help.

[Haris]

According to SAS tech support, this is still not a feature in SAS.  Vote early and often!