Dear all,
I have the following biological data:
I want to test whether there is a difference in the hormone levels between control donors and mutation carriers, but age and gender might bias the direct comparison using a t-test. For instance, I see that age affects the hormone levels in the control group, but not in the mutation group.
What sort of normalization/correction test shall I apply prior to comparing horomonal levels between the control and mutation groups?
Thanks a lot for helping!
Best wishes,
Alexei
University of Luebeck, Germany
I have the following biological data:
- 1st variable (continuous, normally distributed): concentration of a hormone in blood
- 2nd variable (continuous): age of donors
- 3rd variable (categorical): genotype (control vs mutation-carrier)
- 4th variable (categorical): gender (male vs female)
I want to test whether there is a difference in the hormone levels between control donors and mutation carriers, but age and gender might bias the direct comparison using a t-test. For instance, I see that age affects the hormone levels in the control group, but not in the mutation group.
What sort of normalization/correction test shall I apply prior to comparing horomonal levels between the control and mutation groups?
Thanks a lot for helping!
Best wishes,
Alexei
University of Luebeck, Germany