st: Best Logistic Regression Model

[T A <tahnia99@gmail.com>]

Hi,

I am writing an analysis plan for a very large dataset. My outcome is
binary. I have data on 10,000 patients. I need to comment on which
logistic regression model I would use, i.e. forward elimination,
backward elimination, stepwise etc. How do I go about choosing the
best logistic regression model? I know I can choose significant
predictors using univariate analysis first. Since the dataset is so
large and there are only 20 variables to look at, I think all
variables could have a singificant p value. Is there a more systematic
and stringent way of choosing predictors for a multivariable logistic
regression? How do I do AIC and BIC in STATA?

Sorry if this is a silly question. I am a newbie to stats. Thank you
so much for your help.

How do I search all the previous questions that has been asked on this
mailing list?

Best Regards
 Ta
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/