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 modeling count data, including a
thorough presentation of the Poisson model. It then works up to an
analysis of the problem of overdispersion and of the negative
binomial model, and finally to the many variations that can be made
to the base count models. 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 health, ecology,
econometrics, transportation, and other fields.
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