Thanks! I agree that many macro-var is not convinient. However my situation is the following:   I have a macro which I want to run for about 50 variables. The macro calculates standardized differences for one variable each run.   macro std_diff; xxxx yyyy %mend std_diff;   %std_diff(AGE);RUN; %std_diff(CHF);RUN; %std_diff(BB);RUN; and so on...   Of course I can write all 50 variables here BUT my issue is that every time I update my model with new data, some variables might not have enough data to run the macro(calculate the standardized difference). For example, it might be that the variable CHF can not be calculetd in som runs. In these situation the macro will terminate.   So I am thinking of programming some dynamic thing here which tell the macro which variables to be run.(I now in each update which variables possible to run).     Thanks for any advice! Thomas     ... View more

Thanks for your input! These is something strange with this variable so I need to think of another way to handle this /Thomas ... View more

Thanks, This variable is laboratory information. It seem that SAS think that my min-max interval is to narrow because if I set it to 0 it will impute values down to 20 (so it think that 53 is too high. However, 53 is the lowest observed value for that variable)   I also have another continous variable with the same issue, but here PROC MI instead impute very high values. The range for this variable is 0-6 but PROC MI impute values up to 35 (without any min max set)     /Thomas ... View more

Thanks for reply!   Provide the PROC MI code: proc mi data=have out=want nimpute=1 seed=2015 min=. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 90 45 75 153 3.3 134 0 0.12 0.05 . max=. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .; class co_var1 co_var2 co_var5-co_var10 co_var15-co_var32 co_var36-co_var40 co_var51; transform log (co_var49 co_var44-co_var48 co_var50); /*transforming skewed variables*/ fcs discrim (co_var38-co_var39 co_var51 co_var37/classeffects=include) nbiter=100;  /*binary varaibles*/ fcs logistic (co_var40/order=formatted); fcs reg (co_var41-co_var50); /*continous variables I want to impute (mainly laboratory information)*/ var co_var1-co_var51; run;   The code above now works, but that because I put a zero instead of the min-value 53 in the min-statement (the zero marked in blod). When I instead put in 53 (which I want) I recieve the error message:   "ERROR: An imputed variable value is not in the specified range after 100 tries."   Thanks again for help! /Thomas ... View more