期刊文献+

基于赢率分析临床复合终点的统计方法 被引量:2

A Win Ratio Approach to Comparing Composite Outcomes in Clinical Trials
下载PDF
导出
摘要 目的当复合终点(事件)中组分结局事件的临床优先级问题存在时,传统基于风险比的方法常出现一定的估计误差。本文以急性淋巴细胞白血病患者预后研究为背景,讨论能解决该问题的统计方法。方法介绍在组分事件之间的优先级非常重要时,一种新的指标赢率的概念和分析方法;随后将该方法应用于急性淋巴细胞白血病的预后研究,比较风险比和基于赢率的匹配、不匹配和加权赢率法的差异。结果研究发现,赢率法显示GvHD预防是急性淋巴细胞白血病患者预后的危害因素,而风险比的结果与之相反,这是由于在含有多个优先级结局事件的研究中,风险比受第一结局事件的影响,结果往往存在一定的偏差,而赢率能更好的反映实际情况。结论当组分事件之间的优先级很重要时,相对于风险比,赢率是一个更好的统计评价指标。 Objective When the clinical priority of components in the composite endpoints exists,the hazard ratio often has some estimation errors.Based on the prognosis of patients with acute lymphoblastic leukemia,this study discusses the statistical methods that can solve this problem.Methods Firstly,we introduced the win ratio a new approach to the analysis of composite endpoints when the priority between components is important;this method was subsequently applied to the prognosis study of acute lymphoblastic leukemia,comparing the differences between the hazard ratio,the matched win ratio,the unmatched win ratio and the weighted win ratio.Results The win ratio showed that GvHD prevention was a risk factor for prognosis in patients with acute lymphoblastic leukemia,while the hazard ratio was the opposite.This is because in the study with multiple endpoints,the hazard ratio is influenced by the first event,which leads to deviations.However,the win ratio is not affected.Conclusion The win ratio is better statistical measure than the hazard ratio when the clinical priorities among components matters.
作者 闫俊红 杨紫荆 侯雅文 陈征 Yan Junhong;Yang Zijing;Hou Yawen(Department of Biostatistics,School of Public Health,Southern Medical University (510515),Guangzhou)
出处 《中国卫生统计》 CSCD 北大核心 2019年第4期497-501,共5页 Chinese Journal of Health Statistics
基金 国家自然科学基金(81673268) 广东省自然科学基金(2017A030313812,2018A030313849) 南方医科大学大学生创新创业训练计划项目(201712121260)
关键词 生存分析 临床试验 复合终点 风险比 赢率 Survival analysis Clinical trials Composite endpoints Hazard ratio Win ratio
  • 相关文献

参考文献1

二级参考文献20

  • 1Svenja Schüler,Annegret Mucha,Patrick Doherty,Meinhard Kieser,Geraldine Rauch.Easily applicable multiple testing procedures to improve the interpretation of clinical trials with composite endpoints[J]. International Journal of Cardiology . 2014
  • 2Geraldine Rauch,Antje Jahn‐Eimermacher,Werner Brannath,Meinhard Kieser.Opportunities and challenges of combined effect measures based on prioritized outcomes[J]. Statist. Med. . 2014 (7)
  • 3G. Rauch,M. Wirths,M. Kieser.Consistency-adjusted alpha allocation methods for a time-to-event analysis of composite endpoints[J]. Computational Statistics and Data Analysis . 2014
  • 4G. Rauch,J. Beyersmann.Planning and evaluating clinical trials with composite time‐to‐first‐event endpoints in a competing risk framework[J]. Statist. Med. . 2013 (21)
  • 5G. Rauch,M. Kieser.An expected power approach for the assessment of composite endpoints and their components[J]. Computational Statistics and Data Analysis . 2013
  • 6MarcBuyse.Generalized pairwise comparisons of prioritized outcomes in the two‐sample problem[J]. Statist. Med. . 2010 (30)
  • 7M. Angelyn Bethel,Rury Holman,Steven M. Haffner,Robert M. Califf,Alice Huntsman-Labed,Tsushung A. Hua,John McMurray.Determining the most appropriate components for a composite clinical trial outcome[J]. American Heart Journal . 2008 (4)
  • 8Takashi Daimon.Bayesian sample size calculations for a non-inferiority test of two proportions in clinical trials[J]. Contemporary Clinical Trials . 2007 (4)
  • 9Peter H. Westfall,Alok Krishen.Optimally weighted, fixed sequence and gatekeeper multiple testing procedures[J]. Journal of Statistical Planning and Inference . 2001 (1)
  • 10Christopher P. Cannon.Clinical perspectives on the use of composite endpoints[J]. Controlled Clinical Trials . 1997 (6)

同被引文献2

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部