I have a date of 20 individuals treated with combinations of tow substances So I have four treatments and I have three measurements: Body weight (measured three times with one week interval between each time / repeated measurement) J, measured on time only K, measured one time only My data looks like this: ID T1 T2 BW0 BW1 BW2 J K
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1 1 1 675 600 888 114 100
2 1 1 745 653 987 102 100
3 1 1 570 875 885 88 100
4 1 1 510 890 890 91 120
5 1 1 515 870 915 127 169
6 2 1 390 810 935 94 158
7 2 1 410 770 965 146 134
8 2 1 385 725 900 141 149
9 2 1 240 625 750 113 168
10 2 1 545 845 985 103 169
11 1 2 510 840 890 94 158
12 1 2 110 285 900 146 134
13 1 2 500 860 790 141 149
14 1 2 150 335 425 113 168
15 1 2 30 195 215 103 149
16 2 2 135 200 235 94 168
17 2 2 500 625 690 146 169
18 2 2 40 195 345 141 158
19 2 2 740 920 80 113 134
20 2 2 465 650 800 103 149 I am using SAS, and I going to analyze the body weight as repeated measurement. The two other measures will be analyzed using Proc mixed of SAS. The model is proc mixed;
class T1 T2 ;
model K = T1 T2 T1*T2 ;
random ID;
run; Can anyone correct my model for the last two measurements, and suggest how I can analyze the repeated measures using SAS?
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