I'm working on a research project and am trying to adjust an odds ratio for several covariates including sex, age, high/low socioeconomic status, and high/low disease comorbidity. I have the number of subjects that fall into each covariate for each group such that I can compute individual odds ratios for each covariate. (see below for an example of the data I have). For example, I know there are 2000/8000 subjects with high/low SES in group A and 550/450 in group B. Is this type of analysis possible? If so, any tips on how to do it?
Thanks!
Group A (n) = 10,000
Group B (n) = 1,000
Odds ratios to adjust
(1) Disease No disease
Group A 6200 3800
Group B 390 610
Odds ratio 0.39
(2) Labs No Labs
Group A 5000 5000
Group B 300 700
Odds ratio 0.43
(3) Imaging No imaging
Group A 6000 4000
Group B 300 700
Odds ratio 0.29
Covariates
(4) Female Male
Group A 6800 3200
Group B 670 330
Odds ratio 0.96
(5) Age Std dev
Group A 50.5 8
Group B 51.2 9
(6) High SES Low SES
Group A 2000 8000
Group B 550 450
Odds ratio 4.89
(7) High comorbidity Low comorbidity
Group A 6000 4000
Group B 580 420
Odds ratio 0.92
