BookmarkSubscribeRSS Feed
Sandy1985
Calcite | Level 5

The prtocol for the study working on specifies, that a patient is to be dosed everyday for a period of time. The raw data is below.

Patient Dosedate

101      01/01/2015

101      01/02/2015

101      01/03/2015

101      01/04/2015

102      01/05/2015

102      01/06/2015

102      01/08/2015

102      01/10/2015

 

How can Identify a patient who missed a consecutive dose?

Example: Patient102 missied dose on 01/07/2015 and 01/09/2015.

 

Thanks

3 REPLIES 3
RW9
Diamond | Level 26 RW9
Diamond | Level 26

Hi,

 

Retain or lag.  Eg.

data want;
  set have;
  by patient;
  retain lstdate;
  if first.patient then lstdate=dosedate;
  else do;
    if dosedate ne lstdate + 1 then flag=1; 
    lstdate=dosedate;
  end;
run;
    

Not tested.

PGStats
Opal | Level 21

Or use SQL and the fact that dates are numbers of days

 

proc sql;
create table missingPatient as
select Patient
from have
group by Patient
having range(DoseDate) + 1 > count(distinct doseDate);
select * from missingPatient;
quit;
PG
Ksharp
Super User
data have;
input Patient Dosedate: mmddyy10.;
format Dosedate mmddyy10.;
cards;
101      01/01/2015
101      01/02/2015
101      01/03/2015
101      01/04/2015
102      01/05/2015
102      01/06/2015
102      01/08/2015
102      01/10/2015
;
run;
data want;
 merge have have(firstobs=2 rename=(Patient=_Patient  Dosedate=_Dosedate));
 output;
 if Patient=_Patient then do;
  do i=Dosedate+1 to _Dosedate-1;
   Dosedate=.;miss_date=i;output;
  end; 
 end;
 format miss_date mmddyy10.;
 drop i _:;
run;


hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

How to Concatenate Values

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.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 3 replies
  • 1207 views
  • 1 like
  • 4 in conversation