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Survival analysis: Part I — analysis of time-to-event / 대한마취과학회지
Korean Journal of Anesthesiology ; : 182-191, 2018.
Article in English | WPRIM | ID: wpr-715218
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.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Survival Analysis / Statistics as Topic / Sample Size / Methods Type of study: Prognostic study Language: English Journal: Korean Journal of Anesthesiology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Survival Analysis / Statistics as Topic / Sample Size / Methods Type of study: Prognostic study Language: English Journal: Korean Journal of Anesthesiology Year: 2018 Type: Article