基于限制平均生存时间的多组疗效比较
Multiple Groups Comparison Test based on Restricted Mean Survival Time
江珮瑜 1周佳仪 1徐筠天 1张成凤 1巫宏基 1任嘉翘 1黑子健 1余磊 1侯雅文 2陈征1
作者信息
- 1. 南方医科大学公共卫生学院(广东省热带病研究重点实验室)生物统计学系(510515)
- 2. 暨南大学经济学院统计与数学科学系
- 折叠
摘要
目的 在临床随访研究中,基于时间尺度指标的限制平均生存时间(restricted mean survival time,RMST)越来越受到关注,然而目前基于RMST的统计推断主要用于两组比较,缺少进行两组以上比较的方法.方法 本文提出RMST多组间的假设检验法,包括经典法(naive)、对数转换法(log)、双对数转换法(cloglog)三种检验法,并通过Monte Carlo模拟评价其Ⅰ类错误和检验效能,最后进行实例分析.结果 综合Monte Carlo模拟的Ⅰ类错误及检验效能结果,显示所提出的RMST检验可以处理多组比较的问题,特别是cloglog转换法最为稳健.结论 针对生存数据的多组比较问题,若考虑从时间尺度指标分析,推荐使用cloglog转换法的RMST多组检验.
Abstract
Objective In clinical follow-up studies,it is the most common method to quantify treatment differences between groups using a hazard ratio(HR).Moreover,restricted mean survival time(RMST)has attracted more and more attention.However,the current statistical inference method based on RMST is mainly used for the comparison between two groups.Methods In this paper,three RMST tests between multiple groups are proposed,including naive,logarithmic transformation and complementary logarithmic transformation.Monte Carlo simulations were performed to evaluate the type I error and power,and a case study was performed.Results Based on the type I errors obtained by Monte Carlo simulation and the test performance results,it is shown that the proposed RMST test can deal with the problem of multiple sets of comparisons,especially the complementary logarithmic transformation method is the most robust.Conclusions For the multi-group comparison of survival data,if the time scale index is considered,the RMST multi-group test by the complementary logarithmic transformation method is recommended.
关键词
限制平均生存时间/比例风险假定/多组比较/双对数转换Key words
Restricted mean survival time/Proportional hazard assumption/Comparison of multiple groups/Complementary logarithmic transformation引用本文复制引用
基金项目
广东省基础与应用基础研究基金(2022A1515011525)
广东省基础与应用基础研究基金(2024A1515011402)
国家自然科学基金(82173622)
广东省大学生创新创业训练计划项目(S202212121142)
广东省大学生创新创业训练计划项目(S202212121140)
出版年
2024
NETL
NSTL
万方数据