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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… Click to show full 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:
analysis part;
analysis;
time;
time event;
survival analysis
Journal Title: Korean Journal of Anesthesiology
Year Published: 2018
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Journal Title: Korean Journal of Anesthesiology
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!