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st: Mixed effects model with zero-inflated negative binomial outcome for repeated measures data


From   W Robert Long <W.R.Long@leeds.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: Mixed effects model with zero-inflated negative binomial outcome for repeated measures data
Date   Sat, 12 Jan 2013 18:43:04 +0000

Dear statalist

I am working with a dataset that are repeated measures (x4) on around 100 subjects.

The outcome is zero inflated and appears to be well-modelled by a zero-inflated negative binomial distribution.

Hence I would like to run a mixed effects model with random intercepts and random slopes. In R, using the glmmADMB package, such as model can be fitted with:

glmmadmb(Y ~ time*X1 + time*X2 + (time | Subject),
	data=final,family="nbinom2", zeroInflation=TRUE)

Is it possible to fit this kind of model in Stata ? If so, could you provide some pointers ?

Thanks
Robert Long

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