Hello,
I’ve imputed a number of variables using mi impute chained. It is successful and no convergence etc.
I’m trying to extract proportion (n) to collate a table1 equivalent.
I have a number of variables var1 var2 etc. I have a two grouped variable var_group. I normally run:
mi estimate: proportion var1 if var_group==1
mi estimate: proportion var1 if var_group==2
I’m getting an error when I use above stating the number of observations vary across m=1 and m=2.
I’ve run mi varying to identify the problem variable and all appear in order.
I have use multiple imputation another times and have re read the mi manual. Is there something obvious I can do to sort this problem out?
Thanks,
David
I’ve imputed a number of variables using mi impute chained. It is successful and no convergence etc.
I’m trying to extract proportion (n) to collate a table1 equivalent.
I have a number of variables var1 var2 etc. I have a two grouped variable var_group. I normally run:
mi estimate: proportion var1 if var_group==1
mi estimate: proportion var1 if var_group==2
I’m getting an error when I use above stating the number of observations vary across m=1 and m=2.
I’ve run mi varying to identify the problem variable and all appear in order.
I have use multiple imputation another times and have re read the mi manual. Is there something obvious I can do to sort this problem out?
Thanks,
David