In my experimental design, mice are given 2 small wounds on either side of their bodies. The first wound is treated with an experimental drug A, and the second with a control drug B. Over the course of 14 days, wound size is recorded every other day as a percentage of that mouse's original wound size on day 0. Averages for each day are taken and the final data set looks like this:
Drug A Day Avg. Wound area %
0 100
2 72
4 47
6 35
8 30
10 27
12 24
14 22
Drug B Day Avg. Wound area %
0 100
2 80
4 70
6 65
8 63
10 54
12 48
14 45
If I perform a t-test, I would have to perform multiple unpaired t-tests for each time point between the two groups, and that would leave me with multiple p-values. Is there a specific statistical test that can tell me if two groups are significantly different over a given timeframe? Is a two way ANOVA appropriate? Thanks in advance.
