Modeling Count Data: Addressing Over-Dispersion

This chapter explores the Poisson and negative binomial distributions, focusing on their application in accurately modeling count data with over-dispersion. It highlights the distinctions between structural zeros and genuine counts, emphasizing the implications for statistical analyses, particularly in biostatistics. Through practical examples, the discussion underscores the importance of careful variable selection and consideration of zero inflation in research outcomes.