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Survival analysis: Part I - analysis of time-to-eventopen access
- Authors
- In, Junyong; Lee, Dong Kyu
- Issue Date
- Jun-2018
- Publisher
- 대한마취통증의학회
- Keywords
- Censored data; Cox regression; Hazard ratio; Kaplan-Meier method; Log-rank test; Medical statistics; Power analysis; Proportional hazards; Sample size; Survival analysis
- Citation
- Korean Journal of Anesthesiology, v.71, no.3, pp 182 - 191
- Pages
- 10
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- Korean Journal of Anesthesiology
- Volume
- 71
- Number
- 3
- Start Page
- 182
- End Page
- 191
- ISSN
- 2005-6419
2005-7563
- 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.
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Collections - Graduate School > Department of Medicine > 1. Journal Articles
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Related Researcher
- In, Jun Yong
- Graduate School (Department of Medicine)