Negative binomial regression is implemented using maximum likelihood estimation. The traditional model and the rate model with offset are demonstrated, along with regression diagnostics. Traditional Model Negative binomial regression is a type of generalized linear model in which the dependent variable is a count of the number of times an event occurs. A convenient parametrization … Continue reading Negative Binomial Regression