Korean J Anesthesiol.
2018 Jun;71(3):182-191. 10.4097/kja.d.18.00067.
Survival analysis: Part I — analysis of time-to-event
- Affiliations
-
- 1Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
- 2Department of Anesthesiology and Pain Medicine, Guro Hospital, Korea University School of Medicine, Seoul, Korea. entopic@naver.com
- KMID: 2413527
- DOI: http://doi.org/10.4097/kja.d.18.00067
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.
