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Survival Analysis Modeling in R

Survival Analysis Modeling in R

With binomial logistic regression we model the probability of an event happening given various predictors, regardless of when the event happens. But what if we have information on elapsed time until the event? If the event is death or disease relapse, there’s a big difference between the event happening next week and the event happening three years from now. Survival analysis (also known as duration analysis) allows us to analyze and model the time until an event. In this workshop we’ll cover the basics of implementing, interpreting, and evaluating survival analysis models using R. In particular, we will focus on using the Cox Proportional Hazards model.

Previous experience with R and linear modeling will be helpful but not required.

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.

Thursday, October 19, 2023
10:00am - 12:00pm
Data Workshop > RDS Data Workshop Data Workshop R Workshop
Clay Ford

Registration is required. There are 11 seats available.

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The UVA Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Clay Ford
Ricky Patterson