期刊论文详细信息
Korean Journal of Anesthesiology | |
Survival analysis: Part I — analysis of time-to-event | |
Junyong In1  Dong Kyu Lee2  | |
[1] Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea;Guro Hospital, Korea University School of Medicine, Seoul, Korea; | |
关键词: censored data; cox regression; hazard ratio; kaplan-meier method; log-rank test; medical statistics; power analysis; proportional hazards; sample size; survival analysis; | |
DOI : 10.4097/kja.d.18.00067 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown