case mix adjusted mortality rate calculation

[#1]

I have a large data set , where I need to compare the mortality rate among two groups. The groups differ in age , diagnostic categories , gender etc.

I can do logistic regression and it gives me odds ratio of death in one group vs other after including the confounding variables..but it does not give me a 'adjusted rate'

How do I calculate and compare the case mix adjusted mortality rates between two groups ?

[#2]

I suspect you will have to provide more information, a concrete example if possible, to get an answer you can use.  But I would suggest the following from your brief description:  Your Y variable appears to be death/no death.  More usually, the Y variable would be the time to death (a continuous variable).  If you use a continuous variable, then you can create a column for the column mean time to death - by age, diagnostic category, gender, etc. - and use that as your response variable.  It will then be an adjusted time.  I suppose if you have your Y variable (death/no death) coded as 0,1, you could do the same thing, and then make it a nominal variable and use the logistic regression.

[#3]

I am attaching the model dialog box.

I do not have the time to death. Only interested in mortality rate ( yes/no) ..which is coded as "survived' or "died". I converted it to 0, 1 but that does not seem to change the output when I run the model.