Thank you, Rick! I succeeded plotting the mean of the two group means but am back with another question. I have searched and tried to figure it out on my own but not quite there yet. Especially useful for longitudinal analysis is the option to include the Table of Participant Count underneath the graph, it looks really nice from a visual point of view too! However, to better peak into the trend, I was wondering how I could stratify the different group's trend per dropout time. For instance, I would do these in two panels. Each panel or window will show the placebo vs therapy group. On each graph, you will be able to see the mean of participants that dropped out at each stage. Ex. If the graph turns out to show a group mean lower for early study dropouts vs the later ones, then I can already get an idea if the model's estimates are biased. For info, I am trying to incorporate the dropout differential analysis into a longitudinal analysis using proc mixed. I have tried using lsmeans and slice but no luck. If you have any tips on how to stratify each group by dropout x time measurement point, building upon the previous means plot, I would greatly appreciated it.