Survival analysis 101: an easy start guide to analysing time-to-event data

被引：2

作者：

Denfeld, Quin E. ^{[1
,2
]}

Burger, Debora ^{[1
]}

Lee, Christopher S. ^{[3
,4
]}

机构：

[1] Oregon Hlth & Sci Univ, Sch Nursing, Portland, OR 97239 USA

[2] Oregon Hlth & Sci Univ, Knight Cardiovasc Inst, SN ORD, 3455 SW US Vet Hosp Rd, Portland, OR 97239 USA

[3] Boston Coll, William F Connell Sch Nursing, Chestnut Hill, MA USA

[4] Australian Catholic Univ, Melbourne, Australia

来源：

EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING | 2023年 / 22卷 / 03期

关键词：

Quantitative methodology; Survival analysis; Time-to-event analysis; Cardiovascular disease; HEART-FAILURE; ADULTS; MODELS;

D O I：

10.1093/eurjcn/zvad023

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：332 / 337

页数：6

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