st: calculating prevalence with prvalue after logistic regression

["Raoul Reulen" <raoulreulen@hotmail.com>]

Hi,

I have a query about the command prvalue if used after using a logistic 
regression model.
I would like to know the prevalence of lung cancer among smokers and among 
non-smokers
,but adjusted for age and sex. The data is from a population based design.

If my logistic model looks like this:

.xi: logistic cancer smokerstatus i.age sex  (cancer=0/1; smokerstatus=0/1, 
age=1,2,3,4, sex=0/1)

and I would use

.prvalue, x(smokerstatus=1)
.prvalue, x(skomerstatus=0)

Would this give me the prevalence (adjusted for age and sex) of cancer in 
smokers and in non-smokers? Or should I still calculate the prevalence for 
men and women seperately? Can I say that this is the age and sex adjusted 
prevalence of lungcancer of smokers and non-smokers? Thanks for the 
clarification.


Raoul


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