@LisavH  Unless you are publishing in Technometrics or something similar, the methodology should not be suspect - it is basic Rubin or Allison.  Spell out what you did in short, non-jargon sentences and even editors or peer reviewers should be able to see what you did.  Now whether there is a more "complete" (read: more difficult, but used by that reviewer in their dissertation) is something else to deal with.  It's kind of why I like being in the pre-clinical space, where it's more critical to get a good result to a sponsor for a decision than it is to get something published.   SteveDenham ... View more

Hi SAS_Rob,   Thank you for your reply.  I had found this SAS-code earlier on in my search but somehow the code did not work then. But I tried the code again and now it works! So thank you very much!    I realized I was close to another solution as well: the weighted frequencies of PROC MIANALYZE are the same as when performing PROC UNIVARIATE and dividing the frequency counts by the n imputations. Some example coding with treatment being binary (no, yes) and gender also being binary (male, female):   *To obtain frequencies per category of the outcome variable; proc univariate data=mi_data freq; class treatment; *To obtain the cumulative frequency omit this line; var gender; run;   ... View more