Department of Health Care Policy, Harvard Medical School, Boston.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston.
NEJM Evid. 2023 Aug;2(8):EVIDe2300142. doi: 10.1056/EVIDe2300142. Epub 2023 Jul 25.
Clinicians consider the Cox proportional hazards model to be the default tool of choice for analyzing right-censored time-to-event outcomes in randomized clinical trials. The Cox model estimates the ratio of the hazard of the outcome of interest (e.g., the time to death) between two treatment groups. The hazard is defined as the instantaneous probability of experiencing the event of interest in the next time interval among individuals who had not yet experienced the event. As a statistical measure, the hazard ratio can be difficult to interpret.
临床医生认为 Cox 比例风险模型是分析随机临床试验中右删失生存时间结局的默认首选工具。Cox 模型估计了两个治疗组中感兴趣结局（例如，死亡时间）的风险比。风险定义为在下一个时间间隔内经历感兴趣事件的个体的瞬时概率，而这些个体尚未经历该事件。作为一种统计测量方法，风险比可能难以解释。
