Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism
文献类型：期刊论文
| 作者 | Zhang, Jing4; Wang, Qihua2,3 ; Wang, Xuan1
|
| 刊名 | ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
 |
| 出版日期 | 2021-06-03 |
| 页码 | 19 |
| 关键词 | Feature screening Model-free Sure screening property Survival data Ultrahigh dimensionality |
| ISSN号 | 0020-3157 |
| DOI | 10.1007/s10463-021-00801-7 |
| 英文摘要 | Feature screening has been seen as the first step in analyzing the ultrahigh-dimensional data with the censored survival time. In this article, we develop a surrogate-variable-based model-free feature screening approach for the censored data under the general censoring mechanism, where the censoring variable may depend on the survival variable and the covariates. This approach is developed by finding some observable variables whose active covariates contain the active covariates of the survival variable as a subset, respectively. Then, any existing model-free feature screening method with the sure screening property for full data can be applied to estimating the sets of the active covariates of the observable variables and hence the set of the active covariates of the survival variable. The sure screening property of the proposed approach is established, and its finite sample performances are demonstrated through some simulations. Further, we illustrate the proposed approach by analyzing two real datasets. |
| 资助项目 | National Natural Science Foundation of China[11871460] ; National Natural Science Foundation of China[61621003] ; Key Lab of Random Complex Structure and Data Science, CAS |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000657561600001 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/58767]  |
| 专题 | 应用数学研究所 |
| 通讯作者 | Wang, Qihua |
| 作者单位 | 1.Zhejiang Univ, Sch Math Sci, Hangzhou 310018, Zhejiang, Peoples R China 2.Zhejiang Gongshang Univ, Sch Math & Stat, Hangzhou 310018, Zhejiang, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Shanghai Lixin Univ Accounting & Finance, Sch Math & Stat, Shanghai 201209, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jing,Wang, Qihua,Wang, Xuan. Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2021:19. |
| APA | Zhang, Jing,Wang, Qihua,&Wang, Xuan.(2021).Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,19. |
| MLA | Zhang, Jing,et al."Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2021):19. |
入库方式： OAI收割
来源：数学与系统科学研究院
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