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From |
W Robert Long <W.R.Long@leeds.ac.uk> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

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

Date |
Sun, 13 Jan 2013 16:04:35 +0000 |

Thank you.

Thanks again. Robert Long On 13/01/2013 00:05, JVerkuilen (Gmail) wrote:

On Sat, Jan 12, 2013 at 1:43 PM, W Robert Long <W.R.Long@leeds.ac.uk> wrote:Is it possible to fit this kind of model in Stata ? If so, could you provide some pointers ?I believe you could specify such a model in -gllamm- and seem to recall that one of the examples on the web page compare Poisson, NB, ZIP and ZINB, but if you look at http://www.gllamm.org/examples.html the examples are there for you. That said, I suspect that a ZINB with mixed effects would be a pretty tough model to estimate well in nearly any package given that the NB overdispersion parameter, overdispersion created by zero inflation, and overdispersion created by clustering are all likely to be highly collinear. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: Mixed effects model with zero-inflated negative binomial outcome for repeated measures data***From:*Robert Long <W.R.Long@leeds.ac.uk>

**References**:**st: Mixed effects model with zero-inflated negative binomial outcome for repeated measures data***From:*W Robert Long <W.R.Long@leeds.ac.uk>

**Re: st: Mixed effects model with zero-inflated negative binomial outcome for repeated measures data***From:*"JVerkuilen (Gmail)" <jvverkuilen@gmail.com>

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