I'm a relatively new user to proc mixed and am running a model for a repeated measures mixed model comparing 2 methods of measurement (A and B). AR(1) is the assumed covariance structure for time and subjects have a pair of evaluations (A and B) at 3 time points. My interested is in comparing: (a) the between-subject variability of each METHOD (obtained from the G matrix), (b) the within-subject variability of each METHOD (obtained from the R matrix), and (c) the overall variability of each METHOD (obtained from the V matrix of PTID=1; can also be obtained from a+b) Can someone tell me how to get the degrees of freedom for these so that I can perform an F-test and make confidence intervals? Any help would be so appreciated. My code follows: /* N=85 subjects (PTID). METHOD=A, B. TIME = 1, 2, 3 (some PTIDs have missing TIME at 2 or 3 ) */ proc mixed method=ml; class PTID METHOD TIME; model Y=METHOD / s ddfm=kr; random METHOD / type=un subj=PTID v g; repeated METHOD / type=un@ar(1) subj=TIME(PTID) r; lsmeans METHOD / diff; run;
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