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AmeeKang
Quartz | Level 8

 

hi!

i want to create a variable dose_90 by adding the doses of each row within 90 days from each Index_Date by ID.

For example, when Index_Date is September 27, 2001 as shown in the figure below, among other index_dates of the ID, the dose( 20mg) is added to 10mg of the existing row to yield 30mg.

 

data have;
	input id date1 :yymmdd10. dose;
	format date1 yymmdd10. ;
cards;
1 20010927 10
1 20011003 20
1 20020204 100
2 20010314 10
2 20010426 50
2 20010509 25
;
1 ACCEPTED SOLUTION

Accepted Solutions
Tom
Super User Tom
Super User

How about using PROC SQL to join the table with itself?

data have;
	input id date1 :yymmdd10. dose;
	format date1 yymmdd10. ;
cards;
1 20010927 10
1 20011003 20
1 20020204 100
2 20010314 10
2 20010426 50
2 20010509 25
;

proc sql;
create table want as
  select a.id, a.date1, a.dose
       , sum(b.dose) as total
  from have a 
    inner join have b
    on a.id = b.id 
      and b.date1 between a.date1 and a.date1+90
  group by a.id,a.date1,a.dose
  order by id,date1
;
quit;

proc print;
run;
Obs    id         date1    dose    total

 1      1    2001-09-27      10      30
 2      1    2001-10-03      20      20
 3      1    2002-02-04     100     100
 4      2    2001-03-14      10      85
 5      2    2001-04-26      50      75
 6      2    2001-05-09      25      25

View solution in original post

1 REPLY 1
Tom
Super User Tom
Super User

How about using PROC SQL to join the table with itself?

data have;
	input id date1 :yymmdd10. dose;
	format date1 yymmdd10. ;
cards;
1 20010927 10
1 20011003 20
1 20020204 100
2 20010314 10
2 20010426 50
2 20010509 25
;

proc sql;
create table want as
  select a.id, a.date1, a.dose
       , sum(b.dose) as total
  from have a 
    inner join have b
    on a.id = b.id 
      and b.date1 between a.date1 and a.date1+90
  group by a.id,a.date1,a.dose
  order by id,date1
;
quit;

proc print;
run;
Obs    id         date1    dose    total

 1      1    2001-09-27      10      30
 2      1    2001-10-03      20      20
 3      1    2002-02-04     100     100
 4      2    2001-03-14      10      85
 5      2    2001-04-26      50      75
 6      2    2001-05-09      25      25

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