Hi,
I've got some data that I need to do some analysis on, and I THINK I've selected the right test, but I don't want to risk being wrong.
I want to do the tests on a measure of Gestational Diabetes in conjunction with Iron and/or Vitamin C supplementation, so:
Dependent Variable:
Gestational Diabetes (GDM) (0 = no; 1 = yes)
Independent Variables:
Iron Supplementation (0 = no; 1 = yes)
Vitamin C Supplementation (0 = no; 1 = yes)
And in measuring them I would need to have 4 variables (I think?), those being:
Iron Only
Vitamin C Only
Both
Neither
So from what I understand, I should be able to do a chi-squared test, since they're all categorical variables? Is that correct, or did I miss something big? Furthermore, do I need to do a chi-squared test on each category (e.g. GDM Yes - Iron Only; GDM Yes - Vitamin C Only; GDM No - Iron Only; etc)
Also, I need to validate those against a few confounding variables, namely
Age (continuous)
Body Mass Index (continuous)
Parity (continuous)
To compare against those, would I need to use a t test? Would I compare each confounder to each of the 4 categories above (Iron, Vit C, Both, Neither)? Or would I need to somehow compare all of them at once to the variables, or..?
Thanks!