I have two groups - control and treatment - and I'm following response for both groups at 4 timepoints. Data is not normally distributed and I am interested in timepoints where there is a significant difference.
To check whether treatment has effect I look at:
- whether response to treatment at the later 3 timepoints is different from the baseline - non-parametric sign-rank test
- whether response to treatment is different from response to control , at all 4 timepoints - non-parametric rank-summed test
In order to correct for multiple corrections with bonferroni, should I correct for 3 comparisons in the first test, and 4 comparisons in the second test, or should I correct for 7 comparisons in total ?
To check whether treatment has effect I look at:
- whether response to treatment at the later 3 timepoints is different from the baseline - non-parametric sign-rank test
- whether response to treatment is different from response to control , at all 4 timepoints - non-parametric rank-summed test
In order to correct for multiple corrections with bonferroni, should I correct for 3 comparisons in the first test, and 4 comparisons in the second test, or should I correct for 7 comparisons in total ?