Re: st: nonlinear growth curve in xtmixed

[David Airey <david.airey@vanderbilt.edu>]

Stata does not yet do nonlinear mixed models, of the kinds you are  
talking about.

It would be nice if we could have these models, because then I could  
have random effects for pharmacodynamic models, like dose response  
models.

-Dave

On Dec 12, 2008, at 5:29 PM, josemaria wrote:

> Dear Stas and Maarten:
> thank you for your kindness. But it seems that neither  -xtmelogit-  
> nor -xtmepoisson-  nor gllamm do apply, because the response  
> variable is not binary or count. For example, for -xtmelogit- the  
> output is odds ratio. Rabe-Hesketh presents growth curve only in  
> linear and quadratic polynomial forms.
> I am interested in continuous variables, as kg, or m, or bmi (body  
> mass index), that moves through time according to a logistic curve,  
> but not a curve of probability from 0 to 1.
> Singer & Willett use an iterative maximum likelihood procedure  
> proposed by Pinheiro & Bates (Mixed-Effects Models in S and S- 
> Plus,Springer, 2000, pages 337-347); the response variable in  
> Pinheiro & Bates example is the trunk circumference (in mm) of  
> trees, and time is day. Each tree is measured seven times.
> José Maria
> By the way, I am not able to write anything in Mata!
>
> 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
> ----- Original Message ----- From: "Stas Kolenikov" <skolenik@gmail.com 
> >
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Friday, December 12, 2008 6:54 PM
> Subject: Re: st: nonlinear growth curve in xtmixed
>
>
> > 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 <jmpsouza@usp.br> 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
> > > *   http://www.ats.ucla.edu/stat/stata/
> >
> >
> > --
> > Stas Kolenikov, also found at http://stas.kolenikov.name
> > Small print: I use this email account for mailing lists only.
> >
> > *
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>
> *
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