Survival analysis: Part I — analysis of time-to-event

Junyong In, Dong Kyu Lee

Korean journal of anesthesiology · 2018 · 60 citations · 9 references

DOIFull text

Open access

Concepts

Abstract

Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death. This review introduces methods of analyzing time-to-event. The Kaplan-Meier survival analysis, log-rank test, and Cox proportional hazards regression modeling method are described with examples of hypothetical data.

References

9