Just on principle, do you think it would make sense to make linear regression models for each individual in a study and treat replicates as data points? I don't mean reporting p-values or anything like that, just for visualization purposes.
Specifically, it'd be a comparison of subjects exposed to treatments, say treatment1 and treatment2 vs. their basal states. Could I show plots for each subject's "trajectory" from basal state to treatment1 to treatment2?
The actual analysis I would do is a linear mixed-effects model, but I think it could be useful to be able to show how each subject individually responded to the treatments as well.
I was thinking something like this:
Do you think this is useful or is it misleading? An important problem is that not all subjects were exposed to all the treatments, so some of them only have 2 observations with 2 replicates each. I could maybe add the replicates as poits in the regression as well? Just to see how they varied.
This is just made up data, but I just realized that if two treatments have opposite effects, the regression would not show that. So maybe my best bet is to just plot each treatment vs the basal state and forget about the regression?