st: suest vs interaction term

[Ankit Sakhuja <a.sakhuja@gmail.com>]

I am trying to assess if the odds ratio of mortality for those with
condition X in comparison to those without condition X are different
between males and females. Which is a better method to understand that
in a multivariable logistic model:

1. Adding an interaction term between condition X and variable for sex
in the multivariable logistic model
2. Running 2 separate multivariable logistic regression models, each
for a subpopulation of males or females and then comparing the OR for
mortality for condition X in the two models by -suest-.

I understand that by this method an interaction term is implicitly
added between variable for sex and all explanatory variables but then
which one would give a more meaningful and accurate answer?

Thanks
Ankit
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