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.
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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