Korean journal of anesthesiology · 2018 · 60 citations · 9 references
Public HealthBiostatisticsEpidemiologic MethodsEpidemiologySurvival AnalysisEvent History AnalysisHazard FunctionsKaplan-meier EstimationSurvival FunctionsSurvival ModelingTime-to-event AnalysisCox RegressionKaplan-meier Survival EstimatesTime-to-event Metrics
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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Statistics review 12: survival analysis.
Viv Bewick, Liz Cheek, Jonathan Ball · Critical Care · 2004 · 476 citations · Full text
Ji Heui Lee, Seok Hee Kang, Yunkwang Kim et al. · Korean journal of anesthesiology · 2016 · 187 citations · Full text
Medicine, Anesthesiology, Surgery +14