What are your thoughts on where or how to show (non-)imputed data?
Please regard this question as a more a general question. I am in the field of medical clinical research, where missing data is very common. It is most likely caused by mixed reasons (random/not-random). I would like to use multiple imputation to assess and impute missing data.
At the moment, many medical reports do not use imputation: https://pubmed.ncbi.nlm.nih.gov/27556528/ I want to do it the correct way, but also create a manuscript with good readability (for clinicians). In addition, most journals have very strict word, table or page limits.
For example (answers don't have to be limited to this example): Is it okay to show only the imputed data in table that summarizes the main outcomes? Or should one, for example, show the raw data in a table (including numbers that have missing data) and only use the imputed data in your analyses? Or do you have to show both (which reduces readability)?
Curious for your answers!