As of version 10, Stata provides -xtmelogit- and -xtmepoisson- for
logistic and Poisson models, respectively. I believe Singer & Willett
only talk about logistic models there, right? You can say those are
nonlinear models since the mean functions are nonlinear in x's; to me
those are extensions of generalized linear model, and hence there is
at least some linear flavor to them. PROC NLMIXED can fit some crazy
models with direct integration of the random effects (as far as I
know), and full functionality of that is not available in Stata (at
least in the easily available commands; you can write anything you
want in Mata!)
On 12/12/08, josemaria <[email protected]> wrote:
> Dear Statalisters:
> Judith D. Singer and John B. Willet, in their book "Applied Longitudinal
> Analysis", Oxford University Press, 2003, present, in pages 225-232,
> analysis for nonlinear growth curve using the PROC NLMIXED of SAS, and
> explain that, at the time of writing the book, Stata did not have yet the
> same capability.
> This is also informed at the end of the page: "Stata Textbook Examples
> Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
> by Judith D. Singer and John B. Willett
> Chapter 6: Modeling Discontinuous and Nonlinear Change",
> site
> http://www.ats.ucla.edu/stat/stata/examples/alda/chapter6 :
> "Table 6.6 on page 231.
>
> * Skipped these for now. Stata does not yet do nonlinear mixed models." Is
> it possible now to do such analysis in Stata?
> Than you for any orientation.
> José Maria
>
> Jose Maria Pacheco de Souza, Professor Titular (aposentado)
> Departamento de Epidemiologia/Faculdade de Saude Publica, USP
> Av. Dr. Arnaldo, 715
> 01246-904 - S. Paulo/SP - Brasil
> fones (11)3061-7747; (11)3768-8612
> fax (11)3714-2403
> www.fsp.usp.br/~jmpsouza
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
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>
--
Stas Kolenikov, also found at http://stas.kolenikov.name
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