Analysis for time to event - Survival Analysis: Part I.

Analysis for time to event - Survival Analysis: Part I. Korean J Anesthesiol. 2018 May 17;: Authors: Lee DK, In J 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. PMID: 29768911 [PubMed - as supplied by publisher]
Source: Korean Journal of Anesthesiology - Category: Anesthesiology Tags: Korean J Anesthesiol Source Type: research