Syntax - Stata
Negative binomial regressionSyntaxMenuDescriptionOptions for nbregOptions for gnbregRemarks and examplesStored resultsMethods and formulasReferencesAlso seeSyntaxNegative binomial regression modelnbregdepvar[indepvars] [if] [in] [weight] [,nbregoptions]Generalized negative binomial modelgnbregdepvar[indepvars] [if] [in] [weight] [,gnbregoptions]nbregoptionsDescriptionM odelnoconstantsuppress constant termdispersion(mean)parameterization of dispersion; the defaultdispersion(constant)constant dispersion for all observationsexposure(varnamee)include ln(varnamee) in model with coefficient constrained to 1offset(varnameo)includevarnameoin model with coefficient constrained to 1constraints(constraints)apply specified linear constraintscollinearkeep collinear variablesSE/Robustvce(vcetype)vcetypemay beoim,robust,clusterclustvar,opg,bootstr ap,orjackknifeReportinglevel(#)set confidence level; default islevel(95)nolrtestsuppress likelihood-ratio testirrreport incidence-rate ratiosnocnsreportdo not display constraintsdisplayoptionscontrol column formats, row spacing, line width, display of omittedvariables and base and empty cells, and factor-variable labelingMaximizationmaximizeoptionscontr ol the maximization process; seldom usedcoeflegenddisplay legend instead of statistics12 nbreg Negative binomial regressiongnbregoptionsDescriptionModeln oconstantsuppress constant termlnalpha(varlist)dispersion model variablesexposure(varna)
bootstrap, by (nbreg only), fp (nbreg only), jackknife, mfp (nbreg only), mi estimate, nestreg (nbreg ... negative binomial regression model with Stata examples and for a discussion of other regression models for count data. Hilbe(2011) provides an extensive review of the negative binomial model and its variations, using
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