I have very basic notions of statistics and I have to analyse a data sheet containing 7 points of glycemia over time in 5 groups of 6 or 7 animals.
The goal is to measure the effect of some association, so one could say groups are Control, MedA, MedB, Control+MedA and MedA+MedB (Control+MedB are not useful to test).
I think I should use regression, but I only know linear regression. Unfortunately, in my data, values first rise and then fall, which is not linear at all.
I'm using GraphPad Prism 6, so I tried nearly every model I found, but didn't find one who can handle my "rise and fall" pattern.
So in brief, I want to
know if my kinetic pattern is the same in every group, and if not, which one is different and how (higher or lower).
compare the deltas of each points. My red curves seems to rise and fall quicker, even if the AUC may not be impacted. I would like to know if this is significative.
How could I achieve this ?
PS : I can use R and Excel if needed.