Having 10 behavioral variables and 5 independent parameters of brain activation, I've calculated linear correlations between each variable and parameter, obtaining a 10x5 matrix of r-values, and a 10x5 matrix of p-values.
I want to know which correlations are significant after correction for multiple comparisons.
The correct way to correct for multiple comparison, using the matrix of p-values, is:
- By row (10 separate corrections), or
- By column (5 separate corrections), or
- On the whole matrix (1 correction)?