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From |
Richard Williams <richardwilliams.ndu@gmail.com> |

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

Subject |
Re: st: Zero Inflated Negative Binomial model |

Date |
Fri, 20 Jan 2012 10:06:37 -0500 |

At 08:02 AM 1/20/2012, Eugene Walls wrote:

I am working with a dataset that contains counts of the number oftimes that youth in the sample engage in self-harming behaviors(such as cutting). My co-authors and I are interested in using thezero-inflated negative binomial models because (a) we have a samplethat has about 74% zeroes and (b) because we are conceptualizing twoprocesses occurring - one that predicts the likelihood of crossingthe threshold into self-injurious behavior and one that predicts thenumber of times of engaging in the behavior. The Vuong test seems toindicate that the ZINB model is a better fit for the data than the NBReg model.Our question concerns if it is appropriate to use the ZINB becausethe response set of the variable capturing the number of times ofengaging in SIB is not a straight count, but rather a "0 times" "1time" "2-3 times" "4-5 times" "6-10 times" "11-20 times" "21-49times" "50 or more times". We have recoded the variable into 0, 1,2, 4, 6, 11, 21, 50 using the minimum in the category.but if we dothat is using the ZINB model problematic?Thanks Eugene

------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Zero Inflated Negative Binomial model***From:*Eugene Walls <Eugene.Walls@du.edu>

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