Dear mailinglist-members,
Currently I'm working on a resting-state dataset acquired in subjects who were undergoing experimental medical treatment. This goal of this analysis is not to assess the effect of this treatment, but I do want to correct for receiving either treatment or placebo in this trial.
Essentially I have 104 subjects in one group, with two timepoints. As covariates I have age, gender, trial-treatment (2 different randomisations = 2 variables), and two continuous baseline clinical measurements (see attachments).
Besides these analyses taking a lot of time, there are no real problems. My main question is whether my designs are correct in this way. Secondly, should i use --permuteBlocks in this case? if so, for which contrasts?