危险系数
比例危险模型
统计
生存分析
危害
回归分析
数学
置信区间
计量经济学
化学
有机化学
作者
Meng-yi Cai,Xin-Ying Wu,Cherry Mao
出处
期刊:PubMed
[National Institutes of Health]
日期:2019-05-06
卷期号:53 (5): 540-544
标识
DOI:10.3760/cma.j.issn.0253-9624.2019.05.021
摘要
The hazard ratio and median survival time are the routine indicators in survival analysis. We briefly introduced the relationship between hazard ratio and median survival time and the role of proportional hazard assumption. We compared 110 pairs of hazard ratio and median survival time ratio in 58 articles and demonstrated the reasons for the difference by examples. The results showed that the hazard ratio estimated by the Cox regression model is unreasonable and not equivalent to median survival time ratio when the proportional hazard assumption is not met. Therefore, before performing the Cox regression model, the proportional hazard assumption should be tested first. If proportional hazard assumption is met, Cox regression model can be used; if proportional hazard assumption is not met, restricted mean survival times is suggested.
科研通智能强力驱动
Strongly Powered by AbleSci AI