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From |
Amir Sariaslan <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Regression Equation for Zero inflated negative binomial |

Date |
Mon, 19 Sep 2011 15:37:41 +0200 |

Rachel, The formulas are covered in the following book: http://www.stata.com/bookstore/negative-binomial-regression/ Sincerely, Amir 2011/9/19 rachel grant <[email protected]>: > Thank you for your help. Maybe I need to explain the problem more clearly > I have used Zero Inflated negative binomial regression in Stata to > model some overdispersed, zero inflated count data. I got very nice > results and also used the postestimation tools to predict Y values. > This is included in my PhD thesis which I am about to submit. My PhD > supervisor said as well as presenting the results (i.e cofficients, p > values etc.) I also have to show "the model". I think by this he means > the regression equation in the form: > > natural log (Y) = B0+B1X1 + B2X2.............. > > I cannot find out what the equation is for ZINB models and also I > cannot find out how to make Stata display this model. > I could just add in the coefficients myself BUT I am not sure of the > exact formula of the model for ZINB (especially the ZI part) as I > think it may be more complicated than the simple Poisson > > log e (Y) = β0 + β1Χ1 + β2Χ2 ... > > I have searched everywhere to find a general equation for ZINB with no > luck and also read all the Stata help files. > I am very confused about why this seemingly simple thing should prove > so impossible! I am a beginner with stata, and previously only used > simple linear regression so thank you for your patience. > > -- > regards, Rachel Grant > > * > * 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/ > * * 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: Regression Equation for Zero inflated negative binomial***From:*rachel grant <[email protected]>

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