Hi. This is the structure of my data
id dt_admission dt_discharge
1 3/21/2013 3/24/2013
2 3/23/2014 3/25/2014
3 4/22/2014 4/25/2014
4 4/24/2015
5 5/1/2015
For the last two dates, I have to impute dt_admission based on dt_discharge.
I have two thoughts...
imp_dt _admission = dt_discharge -(specific number of days) or
imp_dt_admission = dt_discharge - (avg(dt_discharge - dt admission)) for entire data
Can anyone provide me proc mi procedure or data procedure for imputation of dates?
Out of curiosity, why use proc mi? Why not write data steps based on the logic that you have provided?
One might ask what the resulting set will be used for. That may have some impact on building rules.
I can see that further information might be useful in considering building rules such as treatment information. Simple broken bones may have a notably shorter period than an open-hear surgery for instance.
And considering we had another question today about indentifying admissions (possibly multiple) of deceased persons then why admission date is missing becomes kind of interesting.
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