Survival Analysis in R: Modeling Time-to-Event Data

Takeway:
By attending this webinar, participants will gain a clear understanding of survival analysis concepts, learn how to prepare and explore time-to-event data in R, and apply key modeling techniques such as Kaplan-Meier estimation, Cox proportional hazards models, and parametric survival models. Attendees will also learn how to interpret model outputs, visualize survival curves, and handle censored data effectively, equipping them with practical skills to analyze and draw meaningful insights from real-world time-to-event datasets.