SAS Procedures

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Tpham
Quartz | Level 8

In my dataset from an actual clinical trial, I have 64 ID numbers (numbered 1 to 64), where 32 goes to treatment group A and 32 goes to treatment B and a score (outcome)

So I want to add a hypothetical variable where I want to generate a variable (let's call it Gender/Sex, so 2 levels)  that is sex is evenly and randomly distributed within each group (16 males and 16 females per treatment group). How do I do this randomly?

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Accepted Solutions
Steelers_In_DC
Barite | Level 11

If you use survey select you can name your strata:

proc surveyselect data='trial' method=srs n= 'sample size'

      seed= 'number' out='trial sample;

strata  "enter strata here, gender sex with no column, try both and see what gives you the desired output"

run;

I put everything you'll need to type in quotes.  Hope this helps.

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

Well, that statisticians out there probably have the best answers for this.  My way would be:

data want;

     call streaminit(123);

     set have;

     male_cnt=0;

     female_cnt=0;

     if rand("uniform") <0.5 then do;

          if male_cnt <16 then do;

               sex="male";

               male_cnt=male_cnt+1;

          end;

          else do;

               sex="female";              

               female_cnt=female_cnt+1;

     end;

     else do;

          /* same as above but reveresed */

     end;

run;

Probably a bit simplistic and not so random, but if it doesn't matter too much...


Steelers_In_DC
Barite | Level 11

If you use survey select you can name your strata:

proc surveyselect data='trial' method=srs n= 'sample size'

      seed= 'number' out='trial sample;

strata  "enter strata here, gender sex with no column, try both and see what gives you the desired output"

run;

I put everything you'll need to type in quotes.  Hope this helps.

Tpham
Quartz | Level 8

thanks that worked for me. I used that to randomly select the men.. and then if the sex variable is missing, i pop recoded that to women.

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