|
USUBJID |
AGE |
TRT |
DRUG |
|
1001001 |
45 |
active |
carbidopa |
|
1001002 |
56 |
placebo |
dummy |
|
1001003 |
49 |
placebo |
dummy |
|
1001004 |
38 |
active |
Combination |
|
1001005 |
40 |
placebo |
dummy |
|
1001006 |
46 |
active |
Combination |
|
1001007 |
50 |
active |
levodopa |
|
1001008 |
55 |
active |
Combination |
1) From the above data:
a) Create a dataset “DEMOG”.
b) Create a dataset “DEMOG_2” and represent the data in the variable drug as follows
alisporivir = “Drug A”
Ribavirin = “Drug B”
Combination = “Drug A + Drug B”
Dummy = “Null”
c) Create a dataset “DEMOG_3” with female subjects receiving active treatment.
d) Create a dataset “DEMOG_4” with subjects whose age is greater than or equal to 40. (#Hint: Either >= or GE can be used)
hi frnds, i'm just a beginner. i have tried these querries. Can anyone pls explain for the options b, c & d.Thanks.
ya, i tried but i didn't find the solution.Can u please explain?
/*a)*/
data DEMOG;
length DRUG $11;
input USUBJID AGE TRT$ DRUG$;
cards;
1001001 45 active carbidopa
1001002 56 placebo dummy
1001003 49 placebo dummy
1001004 38 active Combination
1001005 40 placebo dummy
1001006 46 active Combination
1001007 50 active levodopa
1001008 55 active Combination
;
proc print data=DEMOG;
run;
/*b)*/
data DEMOG_2;
length DRUG $32;
input USUBJID AGE TRT$ DRUG$;
format carbidopa = “Drug A”
levodopa = “Drug B”
Combination = “Drug A + Drug B”
Dummy = “Null”;
cards;
1001001 45 active carbidopa
1001002 56 placebo dummy
1001003 49 placebo dummy
1001004 38 active Combination
1001005 40 placebo dummy
1001006 46 active Combination
1001007 50 active levodopa
1001008 55 active Combination
;
proc print data=DEMOG_2;
run;
Additional hint on C: Where is the gender information stored?
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!
Still thinking about your presentation idea? The submission deadline has been extended to Friday, Nov. 14, at 11:59 p.m. ET.
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.
Ready to level-up your skills? Choose your own adventure.