文章摘要
量英,余金明,胡大一.样条Cox回归在随访资料分析中的应用[J].中华流行病学杂志,2012,33(9):969-972
样条Cox回归在随访资料分析中的应用
Application of spline-based Cox regression On analyzing data from follow-up studies
收稿日期:2012-05-14  出版日期:2014-09-17
DOI:10.3760/cma.j.issn.0254-6450.2012.09.021
中文关键词: Cox比例风险模型  限制性立方样条  踝臂指数  全因死亡
英文关键词: Cox proportional hazards regression  Strict cubic spline  Ankle brachial index  All-cause mortality
基金项目:
作者单位E-mail
量英 201203 上海中医药大学预防医学教研室  
余金明 复旦大学公共卫生学院临床流行病学研究中心 教育部公共安全重点实验室 jmy@fudan.edu.cn 
胡大一 复旦大学公共卫生学院临床流行病学研究中心 教育部公共安全重点实验室  
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中文摘要:
      介绍借助R软件应用样条Cox回归分析不满足Cox比例风险模型两个基本假定条件的随访资料的方法,可同时估计非线性效应和时协效府。结果 表明文中文例涉及的连续型协变量多不符合线性假定,3个变量不符合比例风险假定,应用样条Cox回归控制多个协变量后,踝臂指数每降低0.1,全因死亡的风险比(HR)为1.07l。随访资料在不满足比例风险Cox回归模型的应用条件时,可选择应用样条Cox回归进行分析。
英文摘要:
      With R, this study involved the application of the spline-based Cox regression to analyze data related to follow-up studies when the two basic assumptions of Cox proportional hazards regression were not satisfactory. Results showed that most of the continuous covariates contributed nonlinearly to mortality risk while the effects of three covariales were time-dependent. After considering multiple covariatcs in spline-based Cox regression, when the ankle brachial index (ABI) decreased by 0.1, the hazard ratio (HR) for a11-cause death was l.071. The spline-based Cox regression method could be applied to analyze the data related to follow-up studies when the assumptions of Cox proportional hazards regression were violated.
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