Question regarding how to recode a new variable in mutiple obs by the same ID

[N0o9r5a]

Hello everyone, I have a question about how to define status in multiple obs by the same ID. 

The dataset I have like this:

ID	Assessment date	Status
1	2012-06-19	No
1	2012-06-20	Yes
1	2012-06-21	No
2	2012-06-22	.
2	2012-06-23	No
2	2012-06-24	.
2	2012-06-25	No
3	2012-06-19	Unknown
3	2012-06-20	Yes
3	2012-06-21	No
3	2012-06-22	.
3	2012-06-23	No
4	2012-06-01	Unknown
4	2012-06-03	.
4	2012-06-05	No

The dataset I would like to have is like this:

ID	Assessment date	Status	Status_new1	Status_new2
1	2012-06-19	No	Yes	Yes
1	2012-06-20	Yes	Yes	Yes
1	2012-06-21	No	Yes	Yes
2	2012-06-22	.	No	No
2	2012-06-23	No	No	No
2	2012-06-24	.	No	No
2	2012-06-25	No	No	No
3	2012-06-19	Unknown	Yes	Yes
3	2012-06-20	Yes	Yes	Yes
3	2012-06-21	No	Yes	Yes
3	2012-06-22	.	Yes	Yes
3	2012-06-23	No	Yes	Yes
4	2012-06-01	Unknown	No	Unknown
4	2012-06-03	.	No	Unknown
4	2012-06-05	No	No	Unknown

If any obs in the same ID equal to "Yes", the new status variables (No matter is status_new1 or status_new2) should be equal to "Yes".

The only difference between status_new1 and status_new2 is demonstrated in ID 4. Considering ID 4's status are not very clear, I want to create status_new2 to do sensitivity analysis to see if there is any difference when I recode them as "No" and "Unknown". 

The tricky part to me is how to recode the new variables when the status included two different statuses in the same patient. 

I used "where status = "Yes" " to output all the patients who had status equal to "Yes", and created their status_new1 as "Yes". But I don't think I could use the same way to do for status = "No". Because "Yes" and "No" could be mixed. 

Thank you for your help!

[Tom · Accepted solution]

Why not just count how many YES, NO and UNKNOWN values you have?  Then you can construct the new status versions from that information.

data have ;
  input ID Date :yymmdd10. Status $;
  format date yymmdd10.;
cards;
1 2012-06-19 No
1 2012-06-20 Yes
1 2012-06-21 No
2 2012-06-22 .
2 2012-06-23 No
2 2012-06-24 .
2 2012-06-25 No
3 2012-06-19 Unknown
3 2012-06-20 Yes
3 2012-06-21 No
3 2012-06-22 .
3 2012-06-23 No
4 2012-06-01 Unknown
4 2012-06-03 .
4 2012-06-05 No
;
proc sql ;
create table want as 
  select *
       , sum(status='Yes') as yes
       , sum(status='No') as no
       , sum(status='Unknown') as unknown
       , case when (calculated yes) then 'Yes' else 'No' end as Status1
       , case when (calculated yes) then 'Yes'
              when (calculated unknown) then 'Unknown'
              when (calculated no) then 'No'
              else ' ' end as status2
  from have
  group by id 
  order by id, date
;
quit;

Obs    ID          Date    Status     yes    no    unknown    Status1    status2

  1     1    2012-06-19    No          1      2       0         Yes      Yes
  2     1    2012-06-20    Yes         1      2       0         Yes      Yes
  3     1    2012-06-21    No          1      2       0         Yes      Yes
  4     2    2012-06-22                0      2       0         No       No
  5     2    2012-06-23    No          0      2       0         No       No
  6     2    2012-06-24                0      2       0         No       No
  7     2    2012-06-25    No          0      2       0         No       No
  8     3    2012-06-19    Unknown     1      2       1         Yes      Yes
  9     3    2012-06-20    Yes         1      2       1         Yes      Yes
 10     3    2012-06-21    No          1      2       1         Yes      Yes
 11     3    2012-06-22                1      2       1         Yes      Yes
 12     3    2012-06-23    No          1      2       1         Yes      Yes
 13     4    2012-06-01    Unknown     0      1       1         No       Unknown
 14     4    2012-06-03                0      1       1         No       Unknown
 15     4    2012-06-05    No          0      1       1         No       Unknown

[N0o9r5a]

Hello Tom, thank you so much! I just tried your code, it worked perfectly!! Your way is absolutely easy to understand and follow! Thanks a lot!!