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, ...

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 ...

Count-data models are used to analyze the relationship between patents and research and development spending at the firm level, accounting for overdispersion using a finite mixed Poisson regression ...

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.

The study relied on the Poisson regression model and found that earlier HIV treatment initiation led to a reduction in hospitalization rates.