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KMID : 0356920180710030182
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Korean Journal of Anesthesiology
2018 Volume.71 No. 3 p.182 ~ p.191
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Survival analysis: Part I ? analysis of time-to-event
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In Jun-Yong
Lee Dong-Kyu
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Abstract
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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 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.
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KEYWORD
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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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