Dear Hlsmith,

Thank you very much, it does make sense to me and it is really very helpful! At the same time I was, in fact, looking to compute adjusted proportion estimate (not the odds ratio). Based on odds ratio we cannot compute the proportions, can we?

Example: in Canadian Inst. for Health Informatics they fit a logistic regression then modify the unadjusted QI results as if each facility served a standard reference population, that is replacing the values of a covariate on the right-hand side of the logistic regression model with an average, as in their publication "What Does 'Adjusted' Mean? A Demonstration of Quality Indicator Calculation in Nursing Homes".

In my example this might mean replacing age on the right-hand-side with an average age over the entire dataset. Yet another source suggested weighted averages. How would you comment on this?