*/Hello,*/;
*/I'm creating a mixed-effects repeated model (SAS v9.4 on Mac) to compare the value of y in men (0) versus women (1) over time (days). I would like to adjust for age and employment. I do have some missing values that are missing at random (as opposed to missing completely at random)*/;
data a;
input age employment sex pt_id day y;
cards;
48 1 0 1 0 39.00
48 1 0 1 1 24.00
48 1 0 1 2 .
48 1 0 1 3 .
48 1 0 1 4 .
48 1 0 1 5 17.00
48 1 0 1 6 18.00
48 1 0 1 7 16.00
48 1 0 1 8 .
48 1 0 1 9 19.00
48 1 0 1 10 19.00
48 1 0 1 11 21.00
48 1 0 1 12 21.00
48 1 0 1 13 24.00
48 1 0 1 14 .
48 1 0 1 15 .
48 1 0 1 16 .
48 1 0 1 17 .
48 1 0 1 18 .
48 1 0 1 19 .
48 1 0 1 20 .
48 1 0 1 21 .
33 0 0 2 0 37.00
33 0 0 2 1 .
33 0 0 2 2 24.00
33 0 0 2 3 .
33 0 0 2 4 .
33 0 0 2 5 19.00
33 0 0 2 6 .
33 0 0 2 7 .
33 0 0 2 8 .
33 0 0 2 9 22.00
33 0 0 2 10 .
33 0 0 2 11 .
33 0 0 2 12 27.00
33 0 0 2 13 27.00
33 0 0 2 14 27.00
33 0 0 2 15 .
33 0 0 2 16 .
33 0 0 2 17 .
33 0 0 2 18 .
33 0 0 2 19 .
33 0 0 2 20 .
33 0 0 2 21 .
39 1 0 3 0 34.00
39 1 0 3 1 13.00
39 1 0 3 2 .
39 1 0 3 3 .
39 1 0 3 4 .
39 1 0 3 5 .
39 1 0 3 6 .
39 1 0 3 7 .
39 1 0 3 8 .
39 1 0 3 9 .
39 1 0 3 10 .
39 1 0 3 11 .
39 1 0 3 12 .
39 1 0 3 13 .
39 1 0 3 14 .
39 1 0 3 15 .
39 1 0 3 16 .
39 1 0 3 17 .
39 1 0 3 18 .
39 1 0 3 19 .
39 1 0 3 20 .
39 1 0 3 21 .
30 0 1 4 0 31.00
30 0 1 4 1 .
30 0 1 4 2 17.00
30 0 1 4 3 14.00
30 0 1 4 4 13.00
30 0 1 4 5 .
30 0 1 4 6 .
30 0 1 4 7 .
30 0 1 4 8 .
30 0 1 4 9 .
30 0 1 4 10 .
30 0 1 4 11 .
30 0 1 4 12 .
30 0 1 4 13 .
30 0 1 4 14 .
30 0 1 4 15 .
30 0 1 4 16 .
30 0 1 4 17 .
30 0 1 4 18 .
30 0 1 4 19 .
30 0 1 4 20 .
30 0 1 4 21 .
79 1 1 5 0 22.50
79 1 1 5 1 26.00
79 1 1 5 2 23.00
79 1 1 5 3 .
79 1 1 5 4 23.50
79 1 1 5 5 22.00
79 1 1 5 6 23.00
79 1 1 5 7 .
79 1 1 5 8 .
79 1 1 5 9 .
79 1 1 5 10 .
79 1 1 5 11 .
;
run;
*/My code so far is */;
proc mixed data=a;
class sex employment;
model y=sex employment day sex*day age;
run;
*/Any help is much appreciated*/;
