Hannah Frick - tidymodels for time-to-event data

Time-to-event data can show up in a broad variety of contexts: the event may be a customer churning, a machine needing repairs or replacement, a pet being adopted, or a complaint being dealt with. Survival analysis is a methodology that allows you to model both aspects, the time and the event status, at the same time. tidymodels now provides support for this kind of data across the framework. Talk by Hannah Frick Slides: https://hfrick.github.io/2024-posit-conf/ GitHub Repo: https://github.com/hfrick/2024-posit-conf