12.1 Poisson Regression

In this section, you learn how to:
  • Describe the Poisson distribution and determine maximum likelihood estimates of its parameters
  • Summarize the goodness of fit using the Pearson chi-square statistic
  • Describe how to include explantory variables in a Poisson regression model using a logarithmic link
  • Describe how to include exposures in a Poisson regression model

Video Overview of the Section (Alternative .mp4 Version -13:21 min)

[raw] [/raw]