Number of weekly car accidents at an intersection, number of published articles by faculty, number of falls in a hospital per week. These are examples of count data. Statistical modeling of count data sometimes requires special handling. For starters, counts are discrete, and they can’t be negative. Counts can also have odd or highly skewed distributions. For these reasons we need special methods to model count data. In this workshop we cover various types of count models and how to assess, interpret and visualize them.

Our policy is that we do not record live workshops in order to encourage robust Q&A. However, you can always find the full workshop materials for all of our workshops at: https://library.virginia.edu/data/training/past-workshops which allows you to work through the material at your own pace. We also encourage you to reach out to the instructor at any time for a one-on-one consult, and for specific or general questions about any of the topics we cover.