Negative Binomial vs Poisson GLM to Model Overdispersed Count Data

Summary

Here is a simulation to create synthetic overdispersed count data and to investigate how overdispersion effects the estimation of Poisson model standard errors. Additionally, example datasets are modeled with a negative binomial model (NB-2 variance parameterization) to investigate how the negative binomial model can more accurately model overdispersed count data.

Index

• overdisp_sim.R: contains helper functions used to create plot of coverage probability by overdispersion parameter.
• nbreg_examples.R: contains code for generating output for application datasets.
• CSV Files: datasets to be used in example applications.
• overdisp_analysis.html: the Rmarkdown file in HTML format.

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