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Introduction to Survival Analysis in R
May 17 @ 1:00 pm - 4:00 pm
Introduction to Survival Analysis in R, Tuesday, May 17 from 1 to 4 p.m. PDT via Zoom
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/.