Introduction to Survival Analysis in R

Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material.

The workshop notes are here:  https://stats.oarc.ucla.edu/r/seminars/introduction-to-survival-analysis-in-r/

Register here: https://ucla.zoom.us/meeting/register/tJ0scuCspz4sHNyKIWewpu58WQ2-uFLfk4lL