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

Korean Journal of Anesthesiology

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