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

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.

Keywords

• censored data
• cox regression
• hazard ratio
• kaplan-meier method
• log-rank test
• medical statistics
• power analysis
• proportional hazards
• sample size
• survival analysis