Programming the statistical procedures from SAS

Missing data in mixed models

Occasional Contributor
Posts: 11

Missing data in mixed models

Hi all,


I was wondering where I could find information on how both PROC MIXED and PROC NLMIXED deal with missing data. Do they assume MAR? Do they have the same approach to dealing with missing data?


When I run mixed models in both procs, the output includes "Number of Observations Read" and "Number of Observations Used," so I want to understand what is going on under the hood with both of these procs.


Any help woud be greatly appreciated!


Frequent Contributor
Posts: 84

Re: Missing data in mixed models

The online documentation states:


Missing Level Combinations

PROC MIXED handles missing level combinations of classification variables similarly to the way PROC GLM does. Both procedures delete fixed-effects parameters corresponding to missing levels in order to preserve estimability. However, PROC MIXED does not delete missing level combinations for random-effects parameters because linear combinations of the random-effects parameters are always estimable. These conventions can affect the way you specify your CONTRAST and ESTIMATE coefficients.



You might consider multiple imputation if you have missing data.  SAS has the MI procedure.





Occasional Contributor
Posts: 11

Re: Missing data in mixed models

Posted in reply to KevinViel

Thank you for your help!

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