生存分析 101：分析事件时间数据的简易入门指南。
Survival analysis 101: an easy start guide to analysing time-to-event data.
机构信息
School of Nursing, Oregon Health & Science University, Portland, OR, USA.
Knight Cardiovascular Institute, Oregon Health & Science University, 3455 SW U.S. Veteran's Hospital Rd, SN-ORD, Portland, OR 97239, USA.
出版信息
Eur J Cardiovasc Nurs. 2023 Apr 12;22(3):332-337. doi: 10.1093/eurjcn/zvad023.
Abstract
Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health-related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of events. There is a specific language used and methods designed to handle the unique nature of event data. In this methods paper, we provide an 'easy start guide' to using survival analysis by (i) providing a step-by-step guide and (ii) applying the steps with example data. Specifically, we analyse cardiovascular event data over 6 months in a sample of patients with heart failure.
摘要
生存分析，也称为事件时间分析，是心血管护理和健康相关研究中处理事件数据的常用方法。生存分析用于描述、解释和/或预测事件的发生和时间。有专门的语言和方法用于处理事件数据的独特性质。在本方法论文中，我们通过（i）提供分步指南和（ii）应用示例数据来提供使用生存分析的“简易入门指南”。具体来说，我们分析了心力衰竭患者样本中 6 个月的心血管事件数据。
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