中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparing k cumulative incidence functions through resampling methods

文献类型:期刊论文

作者Yuen, KC; Zhu, LX; Zhang, DX
刊名LIFETIME DATA ANALYSIS
出版日期2002-12-01
卷号8期号:4页码:401-412
关键词bootstrap competing risk model empirical process Gaussian process random symmetrization
ISSN号1380-7870
英文摘要Tests for the equality of k cumulative incidence functions in a competing risks model are proposed. Test statistics are based on a vector of processes related to the cumulative incidence functions. Since their asymptotic distributions appear very complicated and depend on the underlying distribution of the data, two resampling techniques, namely the well-known bootstrap method and the so-called random symmetrization method, are used to approximate the critical values of the tests. Without making any assumptions on the nature of dependence between the risks, the tests allow one to compare k risks simultaneously for k greater than or equal to 2 under the random censorship model. Tests against ordered alternatives are also considered. Simulation studies indicate that the proposed tests perform very well with moderate sample size. A real application to cancer mortality data is given.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000178435000007
出版者KLUWER ACADEMIC PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/17615]  
专题中国科学院数学与系统科学研究院
通讯作者Yuen, KC
作者单位1.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Beijing, Peoples R China
3.Guangdong Commercial Coll, Dept Stat, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Yuen, KC,Zhu, LX,Zhang, DX. Comparing k cumulative incidence functions through resampling methods[J]. LIFETIME DATA ANALYSIS,2002,8(4):401-412.
APA Yuen, KC,Zhu, LX,&Zhang, DX.(2002).Comparing k cumulative incidence functions through resampling methods.LIFETIME DATA ANALYSIS,8(4),401-412.
MLA Yuen, KC,et al."Comparing k cumulative incidence functions through resampling methods".LIFETIME DATA ANALYSIS 8.4(2002):401-412.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。