Hello,
I have a dataset of patients who reported alcohol consumption during the last 3 months,see below
What would be the most efficient way of coding the patients into three categories
1- No alcohol drink during the last 3 months
2-moderate alcohol consumption ( those who reported drinking 25 glasses per month)
3-Excessive alcohol consumption ( those who reported drinking more than 25 glasses per month
Thank you.
data alcohol;
input ID month1 month2 month3;
datalines;
30300 | 0 | 0 | 3 |
30301 | 3 | 3 | 6 |
30302 | 0 | 0 | 0 |
30303 | 10 | 35 | 35 |
30390 | 20 | 22 | 21 |
30391 | 0 | 0 | 0 |
30392 | 9 | 20 | 22 |
30393 | 67 | 90 | 45 |
30501 | 12 | 11 | 32 |
30500 | 4 | 12 | 19 |
30502 | 2 | 4 | 2 |
30503 | 1 | 2 | 2 |
;
mm = max(of month:);
if mm > 25 then cat = 3;
else if mm > 0 then cat = 2;
else cat = 1;
drop mm;
mm = max(of month:);
if mm > 25 then cat = 3;
else if mm > 0 then cat = 2;
else cat = 1;
drop mm;
This is great!! Thank you very much.
One more question, if the month variable was such as alco_month_1, alco_month_2, and alco_month_last, how can this be tranformed mm = max(of month:) ?
mm = max(of alco_month_:);
Thanks!!
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.