Competing risks data in clinical oncology

被引：2

作者：

Kim, Haesook Teresa ^{[1
]}

机构：

[1] Dana Farber Canc Inst, Dept Data Sci, Boston, MA 02215 USA

来源：

FRONTIERS IN ONCOLOGY | 2024年 / 14卷

关键词：

competing risks; data analysis; clinical utility; cancer treatment; efficacy; CUMULATIVE INCIDENCE; CELL TRANSPLANTATION; END-POINTS; SURVIVAL;

D O I：

10.3389/fonc.2024.1360266

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Competing risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches. Although competing risks data are ubiquitous in cancer studies, competing risks data are infrequently recognized and competing risks data analysis is not commonly performed. Consequently, efficacy of specific treatments is often incompletely and inaccurately presented and thus study results may be interpreted improperly. In the present article, we aim to enhance awareness of competing risks data and provide a general overview and guidance on competing risks data and its analysis using cancer clinical studies.

引用

页数：7

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