Hello All ---
I'm using Intercooled Stata, 8.2. In Hosmer & Lemeshow's
"Applied Logistic Regression", the authors indicate that it may
be possible to exclude a subsample of observations, develop a
model, then test the model on the excluded observations
(p.171). I'm interested in doing just that, although I'm at a
loss as to if -- and how -- something like this can be
implemented in Stata. I've searched the Statalist archives,
UCLA's statistics portal, and a few different textbooks for
hints on how this 'external validation' can be implemented, but
to no avail. Note that I do not want to generate new
coefficients for the second sub-sample, rather, I want to use
the coefficients generated from the first sub-sample in
estimating a classification table for the second sub-sample.
I'm not sure if this is what they had in mind, but this might work. First,
you need to install Nick Cox's -swor- routine.
