Competing risks data in clinical oncology

被引:1
|
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
收藏
页数:7
相关论文
共 50 条
  • [1] Considerations of Competing Risks Analysis in Cardio-Oncology Studies
    Li, Yimei
    Sun, Lova
    Burstein, Danielle S.
    Getz, Kelly D.
    JACC: CARDIOONCOLOGY, 2022, 4 (03): : 287 - 301
  • [2] JOINT MODELLING OF LONGITUDINAL AND COMPETING RISKS DATA IN CLINICAL RESEARCH
    Teixeira, Laetitia
    Sousa, Ines
    Rodrigues, Anabela
    Mendonca, Denisa
    REVSTAT-STATISTICAL JOURNAL, 2019, 17 (02) : 245 - 264
  • [3] Competing risks for repairable systems: A data study
    Langseth, H
    Lindqvist, BH
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2006, 136 (05) : 1687 - 1700
  • [4] Practical methods for competing risks data: A review
    Bakoyannis, Giorgos
    Touloumi, Giota
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2012, 21 (03) : 257 - 272
  • [5] Modelling competing risks data with missing cause of failure
    Bakoyannis, Giorgos
    Siannis, Fotios
    Touloumi, Giota
    STATISTICS IN MEDICINE, 2010, 29 (30) : 3172 - 3185
  • [6] Sample size for a noninferiority clinical trial with time-to-event data in the presence of competing risks
    Han, Dong
    Chen, Zheng
    Hou, Yawen
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2018, 28 (04) : 797 - 807
  • [7] An additive subdistribution hazard model for competing risks data
    Li, Wanxing
    Xue, Xiaoming
    Long, Yonghong
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 46 (23) : 11667 - 11687
  • [8] Clinical states of cirrhosis and competing risks
    D'Amico, Gennaro
    Morabito, Alberto
    D'Amico, Mario
    Pasta, Linda
    Malizia, Giuseppe
    Rebora, Paola
    Valsecchi, Maria Grazia
    JOURNAL OF HEPATOLOGY, 2018, 68 (03) : 563 - 576
  • [9] Competing Risks Regression for Stratified Data
    Zhou, Bingqing
    Latouche, Aurelien
    Rocha, Vanderson
    Fine, Jason
    BIOMETRICS, 2011, 67 (02) : 661 - 670
  • [10] Competing risks regression for clustered data
    Zhou, Bingqing
    Fine, Jason
    Latouche, Aurelien
    Labopin, Myriam
    BIOSTATISTICS, 2012, 13 (03) : 371 - 383