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

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38 Scopus citations

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 languageEnglish
Pages (from-to)182-191
Number of pages10
JournalKorean Journal of Anesthesiology
Volume71
Issue number3
DOIs
StatePublished - 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

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