Understanding survival analysis: actuarial life tables and the Kaplan–Meier plot

Author:

Barakat Ahmed1,Mittal Aaina2,Ricketts David3,Rogers Benedict A3

Affiliation:

1. Clinical Fellow Trauma and Orthopaedic Surgery, Department of Trauma and Orthopaedics, Princess Royal Hospital, Haywards Heath, West Sussex RH16 4EX

2. Foundation Year Doctor, Department of Trauma and Orthopaedics, Princess Royal Hospital, Brighton and Sussex University Hospitals, Haywards Heath, West Sussex

3. Consultant Orthopaedic Surgeon, Department of Trauma and Orthopaedics, Princess Royal Hospital, Haywards Heath, West Sussex

Abstract

Survival analysis is a set of methods used to study the time between enrollment in a study and the occurrence of an event of interest. Two methods are commonly used: actuarial life tables and the Kaplan–Meier approach for survival analysis. A good understanding of both these methods is useful when reading and appraising the literature concerning prognostic and interventional studies. Kaplan–Meier curves are widely used as they enable analysis of incomplete sets of data (i.e. after patients withdraw from studies or are lost to follow up). This review explains these two methods and gives practical examples of their use.

Publisher

Mark Allen Group

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3