I think each estimation command has its own code to define the options
allowed after estimation. That is, the predict option and post-estimation
diagnostics might be different from model to model. I guess the reason is
that some diagnostics make sense in one but not in all contexts.
Alfonso.
========================================================
Alfonso Miranda
University of Warwick
Coventry, Warwickshire, UK, CV4 7AL
Tel. (44)+(02476)+76523474
Fax: (44)+(02476)+523032
E-mail: [email protected]
========================================================
On Wed, 16 Oct 2002, Ian Dohoo wrote:
> Stata colleagues:
>
> Is there a particular reason why the list of diagnostic options available
> with -predict- after poisson and negative binomial regression is so
> limited? I can get a much more complete set of diagnostic parameters
> using -predict- after -glm-. This approach is fine for poisson models, but
> (as the Stata help points out) replicating -nbreg- results using -glm- is
> difficult.
>
> Are there any differences in the way that regression diagnostics are
> computed after -glm- to how they would be computed after -poisson-, if
> they were available (eg. the difference in residuals between -glm-
> (computed 1 per observation) and -logit- (computed 1 per covariate
> pattern))?
>
> Thanks in advance for any help with this.
>
> Cheers
> Ian Dohoo
>
> --------------------------------------------------------------
> Ian R. Dohoo,
> Professor - Epidemiology,
> Department of Health Management
> Atlantic Veterinary College
> University of P.E.I.,
> Charlottetown, P.E.I. C1A 4P3 CANADA
> e.mail <[email protected]> phone 902-566-0640 FAX 902-566-0823
>
> "Life is full of obstacle illusions" ... Grant Frazier
> --------------------------------------------------------------
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
