How Do the Accrual Pattern and Follow-Up Duration Affect the Hazard Ratio Estimate When the Proportional Hazards Assumption Is Violated?

被引：18

作者：

Horiguchi, Miki ^{[1
]}

Hassett, Michael J. ^{[2
]}

Uno, Hajime ^{[2
,3
]}

机构：

[1] Kitasato Univ, Grad Sch Pharmaceut Sci, Dept Clin Med Biostat, Tokyo, Japan

[2] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA

[3] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA

来源：

ONCOLOGIST | 2019年 / 24卷 / 07期

关键词：

Clinical trials; Cox proportional hazards model; Survival data analysis; Time-to-event outcomes; MEAN SURVIVAL-TIME; NIVOLUMAB; CANCER;

D O I：

10.1634/theoncologist.2018-0141

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

In randomized clinical trials, the magnitude of the treatment effect is often reported using the hazard ratio (HR) even when the proportional hazards (PH) assumption is not met. Conducting numerical studies, this commentary illustrates how/why the HR estimate via the standard Cox's procedure is difficult to interpret even as an "average" treatment effect for non-PH cases.

引用

页码：867 / 871

页数：5

共 8 条

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