Training a Poisson regression model is the process of finding the values of the intercept/constant and the coefficients so that predicted y count values (before rounding) closely match the known, ...

Quasi-Poisson and negative binomial regression models have equal numbers of parameters, and either could be used for overdispersed count data. While they often give similar results, there can be ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...

Ridout, Hinde, and Demétrio (2001, Biometrics 57, 219-223) derived a score test for testing a zero-inflated Poisson (ZIP) regression model against zero-inflated negative binomial (ZINB) alternatives.

Understanding Poisson Regression Poisson regression is perhaps best understood by examining a concrete example. Suppose you have the trained Poisson regression model shown in Figure 1 with ...