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.
| Original language | English |
|---|---|
| Pages (from-to) | 182-191 |
| Number of pages | 10 |
| Journal | Korean Journal of Anesthesiology |
| Volume | 71 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2018 |
Keywords
- Censored data
- Cox regression
- Hazard ratio
- Kaplan-Meier method
- Log-rank test
- Medical statistics
- Power analysis
- Proportional hazards
- Sample size
- Survival analysis