I have browsed around and have found mixed partial answers so I decided to give my exact situation and see if you guys could help me (really appreciated).
My data has 3 columns:
- Before treatment (numeric)
- After treatment (numeric)
- Active (factor: Y/N, up to 3 actives in other cases)
I measure the response before and after treatment (which makes me think of paired t-test), but ultimately I want to know if the presence of a particular active made an impact vs placebo (or "no active" group), which makes me think of ANOVA.
I've read something about two-way repeated measures ANOVA but it doesnt quite apply since I cannot use the same subject for active vs. no active. Each subject has a before/after treatment but they are either in the active or no active groups.
So at this point I am a bit confused, should I run ANOVA on the (before-after) differences or is there some sort of "paired data" test for this kind of situation.