Modeling count data This entry level text offers clear and concise guidelines on how to select construct interpret and evaluate count data. Written for researchers with little or no background in advanced statistics the book presents treatments of all major models using numerous tables insets and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models and to the problem of overdispersion. Examples in Stata R and SAS code enable readers to adapt models for their own purposes making the text an ideal resource for researchers working in public health ecology econometrics transportation and other related fields. This entry level text offers clear and concise guidelines on how to select construct interpret and evaluate count data. Written for researchers with little or no background in advanced statistics the book presents treatments of all major models using numerous tables insets and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models and to the problem of overdispersion. Examples in Stata R and SAS code enable readers to adapt models for their own purposes making the text an ideal resource for researchers working in public health ecology econometrics transportation and other related fields