Negative binomial regression model stata
Negative binomial regression is a generalization of Poisson regression which loosens the restrictive assumption that the variance is equal to the mean made by the Poisson model. The traditional negative binomial regression model, commonly known as NB2, is based on the Poisson-gamma mixture distribution. This formulation is. Comment from the Stata technical group. Negative Binomial Regression, Second Edition, by Joseph M. Hilbe, reviews the negative binomial model and its area907.infove binomial regression—a recently popular alternative to Poisson regression—is used to account for overdispersion, which is often encountered in many real-world applications with count responses. negative binomial regression model with Stata examples and for a discussion of other regression models for count data. Hilbe() provides an extensive review of the negative binomial model and its variations, using Stata examples.