To perform Poisson regression, follow these steps:
Data Collection: Gather data on the number of events and potential risk factors. Model Specification: Specify the Poisson regression model. The log link function is commonly used to relate the mean of the Poisson distribution to the predictors. Parameter Estimation: Use statistical software to estimate the model parameters. Common software includes R, SAS, and Stata. Model Checking: Check the fit of the model and validate assumptions, such as equidispersion. If overdispersion is detected, consider using a negative binomial regression model.
