I'd suggest J. Scott Long's book, Regression Models for Categorical and
Limited Dependent Variables, as well as Scott Menard's Applied Logistic
Regression Analysis. From a Bayesian perspective, "Ordinal data
modeling," by Valen Johnson and James Albert is excellent.
Scott Millis
[EMAIL PROTECTED] wrote:
>
> I want to buy an intro. book on logistic regression. I am encountering
> cases of experimentation that we need to do with ordinal, nominal,
> binary responses. One important thing is sample size (i.e., number of
> experimental units, or repetitions for the experiment), so I would like
> the book to address this issue, or you could recommend articles that
> deal with sample size calculation.
>
> Is Hosmer and Lemeshow a good INTRO. book? By the way, I am an
> engineer not a statistician.
>
> Lenin
>
> Sent via Deja.com http://www.deja.com/
> Before you buy.
>
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--
Scott R. Millis, PhD, ABPP
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