I would like to know how I can calculate adjusted Odds Ratios with 95% CI for each (age and socioeconomic status) stratum with a single reference category? Instead of having one reference category for age and one reference category for socioeconomic status, which is the output of binary logistic regression.
Further, I would like to test the interaction for these two variables, while adjusting for confounders.
The outcome of interest is a binary variable (yes/no).
Presenting in a table like this:
|
Less than 19 years |
20-29 years |
More than 30 years |
Socioeconomic status High |
1 (reference) |
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Medium |
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low |
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