proc mi

[superbibi]

Hi Friend,

I am new to multiple imputation procedure.

I have a repeated measure data sets (presenting 2 in 200 observation here). Group is not missing for all the participants while baseline, viit2, visit3, or visit 4 can be missing. I plan to use the proc mi code as below. 

id	group	baseline	visit2	visit3	visit4
1	1	82.00	79.70	76.60	77.10
2	2	87.70	88.95	84.50	.

proc mi data=a out = a_mi seed=21355417 nimpute=30  ;
   var basline visit2 visit3 visit4 group ;
run;

I am confused whether monotone, mcmc, or fcs statement is necessary for this imputation process? 

Thanks.

[SAS_Rob]

If group is a categorical variable (which it sounds like it is) then you should use either the FCS or MONOTONE (and add it to the CLASS statement) statement, depending on the missing data pattern.  This would allow you to use the REGRESSION method which would treat group as a CLASS variable.

This section in the documentation is helpful as well.

https://go.documentation.sas.com/?docsetId=statug&docsetTarget=statug_mi_details05.htm&docsetVersion...