Well, I'll try to help Suresh anyway:
For "how to do logistic analysis on Stata" you may like to visit the online
Seminar of UCLA:
http://www.ats.ucla.edu/stat/stata/seminars/stata_logistic/default.htm
Around there on the web page you may find other helpful resources.
If the above seems not to fit your request (it assumes that you're somewhat
familiar with logistic regression) you may want to consult a book, where I'd
like to recommend my favourite book on that topic:
Long, J. Scott (1997): Regression Models for Categorical and Limited
Dependent Variables. Advanced Quantitative Techniques in the Social
Sciences series. Volume 7. Thousand Oaks : Sage
I vaguely remember that recently even a "using Stata" version of this book
has been published.
Cheers,
Christian
Nick Cox
> One lakh = 100,000, I believe.
>
> These are really rather general questions... >
>
> Nick
> [email protected]
>
> Suresh Babu
>
> > I need some advice on the use ogistic regression for large
> > data set. I have
> > around 20 variables (most of the binary including the
> > dependent)and one lakh
> > observations. What is the right procedure ? Do I use the
> > entire data set or
> > a samlpe? What about outliers? Will there be over fitting?
> > How best do I
> > evaluate the fit of the model and the predictions from it?
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