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

Junyong InDong Kyu Lee
Published in: Korean journal of anesthesiology (2018)
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.
Keyphrases
  • data analysis
  • free survival
  • machine learning
  • big data