This workshop will provide participants with an introduction to Poisson regression used to model counts observed in a period of time. Topics covered in this workshop includes the Poisson regression model, model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model checking methods such as residual plots and goodness-of-fit tests will also be covered. Several methods for model selection will be included.
Registration is free and open to all University of Waterloo faculty, staff and graduate students.
There will be both lecture and hands-on computer work using R. Participants are encouraged to bring their own laptop with R and RStudio installed.