Multilevel hurdle using NBH option PreviousNext
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 S.Arunachalam posted on Friday, July 22, 2016 - 9:16 am
Respected Prof. Muthen

First the new book is wonderful. An eye opener for some models that I never thought could be estimated using Mplus!

Could example in "Table 6.7, p. 273: Hurdle model regression using the NBH" be estimated for multilevel data please? i.e. I have a three level model with two cluster variables.

Is it possible to run this using Mplus? If so any reference would be very useful.

Further kindly comment if there is an advantage in using two-part model using NBT option rather than using NBH option for this case of three level Negative binomial hurdle model.
 Bengt O. Muthen posted on Friday, July 22, 2016 - 2:41 pm
Great that you find our new book useful.

Count outcomes are available for two-level and type=twolevel complex but not yet for three-level.

Regarding your last question I am not sure what the relative advantages would be for 3-level - not sure if there would be different sets of random effects.
 S.Arunachalam posted on Friday, July 22, 2016 - 10:05 pm
Thank you Prof. Muthen.

Gentle Requests:
Would it be possible to include this in V8 please?
Further as Bayes is better for multilevel/hierarchical models, could V8 have Bayes for count models (single level and multilevel) please.
These two additions would be tremendously useful and also help stay within the Mplus platform avoiding using Bugs or STATA for these models, which are very common now due to richer data being available.
 Bengt O. Muthen posted on Saturday, July 23, 2016 - 12:34 pm
We have count for Bayes high on our list but cannot promise when we get to it given competing developments.
 S.Arunachalam posted on Saturday, July 23, 2016 - 7:45 pm
Thank you Prof. Muthen. As always wishing the very best for the new developments. Can't wait for V8!!
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