Poisson versus negative binomial regr... PreviousNext
Mplus Discussion > Categorical Data Modeling >
Message/Author
 Seth J. Schwartz posted on Tuesday, August 13, 2013 - 9:51 am
Linda and Bengt,

How would I know whether to use Poisson or negative binomoial regression for a count variable? And if the variable is zero-inflated, which technique should I choose - zero-inflated Poisson or zero-inflated negative binomial? What effect does my choice have on the results of the analysis?

And what is the Mplus syntax for specifying a variable as negative binomial?

Thanks again for all your help and wisdom!

Seth Schwartz
 Bengt O. Muthen posted on Tuesday, August 13, 2013 - 10:36 am
Use BIC to decide on model. Negbin is specified as

count = y(nb);
 Seth J. Schwartz posted on Tuesday, August 13, 2013 - 11:24 am
Thanks, Bengt! And if it is zero-inflated negative binomial, would the syntax be

count = y(nb) (i);
 Bengt O. Muthen posted on Tuesday, August 13, 2013 - 11:30 am
See the UG on our website, pages 547 - 548 for all the variations.
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