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ysk
Calcite | Level 5 ysk
Calcite | Level 5

Hi there,

 

I am trying to merge two data tables (X and Y) by linking on multiple variables (e.g., age and gender to find matching cases)

 

Table X 

Participant ID Age Gender

Table Y

Encounter# Age Gender

 

I did a left join and output shows that some participant IDs are matched up with same encounter #s since the age and gender are equivalent. 

 

I'm hoping to retain unique encounter #s so if an encounter# is matched with participant ID it will not show up again with other participant ID.

 

How could I do this? 

3 REPLIES 3
Reeza
Super User

You can't with SQL but you can with other approaches. Greedy matching?

 

Mayo Clinic has a macro:

https://bioinformaticstools.mayo.edu/research/gmatch/

 

And there's PROC PSMATCH for propensity score matching.

 


@ysk wrote:

Hi there,

 

I am trying to merge two data tables (X and Y) by linking on multiple variables (e.g., age and gender to find matching cases)

 

Table X 

Participant ID Age Gender

Table Y

Encounter# Age Gender

 

I did a left join and output shows that some participant IDs are matched up with same encounter #s since the age and gender are equivalent. 

 

I'm hoping to retain unique encounter #s so if an encounter# is matched with participant ID it will not show up again with other participant ID.

 

How could I do this? 


 

s_lassen
Meteorite | Level 14

I think it can be done with SQL, something like this:

  select 
    x.*,uniq.encounter from
    x left join (
      select x.*,y.encounter
      from x join y on x.age=y.age and x.sex=y.sex
      group by y.encounter
      having x.participant_id=min(x.participant_id)
   ) uniq on x.participant_id=uniq.participant_id;
Ksharp
Super User

You want this ?

 

data x;
input id age sex;
cards;
1 19 1
1 20 0
1 40 0
2 19 1
2 20 0
;

data y;
input id age1 sex1;
cards;
1 19 1
1 20 0
2 19 1
2 20 0
2 22 1
;

data want;
 merge x y;
 by id;
 output;
 call missing(of _all_);
run;

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