So for a nested experimental design, you have subgroups: For example:
2 cell types: A and B and you do an IF
A: 50 cells were randomly selected for analysis
B: 50 cells were also chosen
Now you repeat this experiment 3 times
So now for each cell type, you have 3 sets of 50 cells
So if you want to compare A and B, you'll use 2-level nested ANOVA and you get the P value.
However, if there are more cell types: A, B, C, D for example. A nested ANOVA will still give you the P-value but you don't know which one is significant to the other, and I want to do a multiple comparison between all 4 cell types with each other.
How would you go and perform this? Any statistician's opinion. I'd be very appreciated.
dear Anh;
to distinguish what pairs were significant, do the same post hoc analysis offered in the ANOVA package, but, preferably on the condition that the related groups follow Normal distribution if not you can do the same because there are enough observations in each group.
hope to be usefull
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