SubjectID | Test_Name | Date | Collection_Time | Result_Value | Result_Units |
123456 | Height | 6/8/2010 | NA | 1.53 | m |
123456 | Height | 6/22/2010 | NA | 1.51 | m |
123456 | Height | NA | NA | 1.51 | m |
123456 | Weight | 6/8/2010 | NA | 63 | kg |
123456 | Weight | 6/22/2010 | NA | 62 | kg |
123456 | Weight | NA | NA | 61 | kg |
123456 | Weight | NA | NA | 61 | kg |
456789 | Height | 8/12/2010 | NA | 1.36 | m |
456789 | Height | NA | NA | 1.36 | m |
456789 | Height | 7/30/2010 | NA | 1.36 | m |
456789 | Weight | 8/12/2010 | NA | 36 | kg |
456789 | Weight | NA | NA | 36 | kg |
456789 | Weight | 7/30/2010 | NA | 36 | kg |
Now if height is missing in all visits, then BMI is blank
if height is missing in one of the visits, take height from previous visits(from the last visit ordered by visit date)
if weight is missing in one of the visits, leave BMI blank
BMI is not present in this data set. Please explain further what you want to do and provide lots of details so we can understand your problem.
need to derive BMI. using below formula
BMI = Weight/(Height * Height)
result_value is not BMI. it is actually weight and height values
Available on demand!
Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.
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.