How do I set sum of squares in Type III analysis of variance when dealing with a Repeated Measures design, having set the data in "long format" as required by SAS Proc Mixed procedure. I have am aware that it can be done in Proc GLM but my challenge is when dealing with fixed and random between-subjects factors which require strictly the Proc Mixed procedure. Furthermore, I have come accross and am aware of the fact that (SAS User Guide 2017): "The 'Type 3 Tests of Fixed Effects' table in Figure 56.7 displays significance tests for the three effects listed in the MODEL statement. The Type 3 F statistics and p-values are the same as those produced by the GLM procedure. However, because PROC MIXED uses a likelihood-based estimation scheme, it does not directly compute or display sums of squares for this analysis." Example SAS Code: proc mixed data=LDH_univ method=reml covtest; class CCI4 CHCI3 Time Flask ; model Leakage=CCI4 CHCI3 CCI4*CHCI3 Time CCI4*Time CHCI3*Time CCI4*CHCI3*Time; repeated Time / subject=Flask type=cs; lsmeans CCI4 / pdiff cl adjust=tukey; lsmeans CHCI3 / pdiff cl adjust=tukey; run; SAS Proc Mixed output: Is there a way of populating the sum of squares in Proc Mixed without going the Proc GLM route which is not appropriate for random factors?
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