Hi there. Could I please ask if someone could shed some light on this repeated measures question whether I'm doing it right? My dataset has 3 variables of interest. 1) Intervention: A, B, C and D 2) ExperimentNo: 1,2,3 and 4 3) Concentration: the dependent variable There are different numbers of Concentration for each pair of Intervention*ExperimentNo i.e. A1 has 300, B1 has 500, C4 has 150 etc. I'm interested in comparing the effect of Intervention. I read the Clustered Data Example in the SAS Help & Documentation and tried the below model but it didn't converge which I don't understand why. I was thinking to take into account the concentration measurements from the same Intervention as well as those from the same level of Intervention*ExperimentNo. proc mixed data=tmp order=internal; class Intervention ExperimentNo: model Concentration=Intervention / solution; random Intervention Intervention*ExperimentNo: ; run; Whereas, this one below runs with no problem. proc mixed data=tmp order=internal; class Intervention experimentNum; model Concentration=Intervention / solution; random Intervention*ExperimentNo: ; lsmeans Intervention / cl e om pdiff=control('A'); run; Your insight is greatly appreciated! Have a good day.
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