Negative binomial regression is a statistical method used to model count data that exhibit overdispersion, meaning the variance exceeds the mean. It is particularly useful in road safety analysis, where the number of accidents can vary significantly due to various factors, making traditional Poisson regression inadequate. This technique allows researchers to analyze the relationship between predictor variables and the count of events, providing insights into the effectiveness of countermeasures and road safety interventions.
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