This is the design:
- 11 patients were examined for a "Response Parameter" before and after a specific treatment.
- 12 healthy control patients were examined for the "Response Parameter" (did not receive treatment).
The numbers included are rather small and the "Response Parameter" may not be normally distributed, which is why I think non-parametric statistics is better.
So, I want to test the Null Hypothesis:
"There is no difference in "Response Parameter", also after adjusting for age and gender."
I am using R. The variables are "Group", "Age", "Gender", "Response"
- How do I do I test this hypothesis?
- Is ANCOVA using ranked "Response Parameter" appropriate?
Because the measurements on the 11 patients are paired (before and after treatment), I doubt I can use ANCOVA at all.