Korean Journal of Anesthesiology

The Korean Society of Anesthesiologists (대한마취통증의학회)
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Survival analysis: Part I - analysis of time-to-even

  • In, Junyong (Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital) ;
  • Lee, Dong Kyu (Department of Anesthesiology and Pain Medicine, Guro Hospital, Korea University School of Medicine)
  • Received : 2018.03.12
  • Accepted : 2018.05.08
  • Published : 2018.06.01
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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

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