Dear Andrew,
Thanks for you reply. I'm afraid I cut the question a little too short though: I'm familiar with the 3DANOVA plugins, however ANOVA would not be the best statistical approach for analyzing my data.
I'm studying a population of 30 patients that I scanned 3 times while they were on different medication regimens of a single type of medication. Therefore, a comparable measurement was repeated 3 times for each individual, while varying 'only one' parameter (medication). To analyze the effect of medication on brain activation patterns during task-performance, the best statistical approach would be a test that is called a 'Repeated Measures Design' in SPSS, which allows you to define a within-subject factor 'regimen' with three different levels. This approach takes into account the fact that for each patient, there are 3 measures that are paired in nature, which ANOVA doesn't.
I could use a 3DANOVA 2 or 3 design with medication as a fixed factor, and subjects as a random factor, which would be as close an approximation as one might get for intra-subject effects using ANOVA, however I wondered whether an even more sophisticated test had already been developed for use in AFNI.
Hope I made myself a bit more clear on this (replies are still very much appreciated!),
Kind regards,
Rutger Goekoop
