--- Marnie wrote me privately:
> I am running a 2-level random intercept logistic model using gllamm
> (reshaped data). I am investigating the effect of the interaction
> of dose*time on the nominal dependent variable controlling for
> school level clustering. Dose is continuous (0-100%) and time is
> categorical (4 time points). I am receiving the error message
> "variables have been dropped, can't continue. I did try to create
> my own dummy variables however it did not create the variables for
> each time point.
>
> My syntax is below. The other variables in the model are
> confounders.
> xi:gllamm q9nom i.chgender i.bord_3 i.empl3_ i.q4bbin i.educ4_
> i.time*Dose if(walked==1), i(studid schid) base(1) link(mlogit)
> family(binom) nip(7) adapt
First, the best way of getting advice is to contact the statalist
directly, as is discussed in the Statalist FAQ:
http://www.stata.com/support/faqs/res/statalist.html#private
Second, I don't know the answer (thus proofing my first point).
If I would run into a problem like that I would probably first
try to run the model with -mlogit- rather than -gllamm-.
Simpler models are usually easier to debug than a full blown
-gllamm- model.
-- Maarten
-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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