Improved AIC selection strategy for survival analysis
文献类型：期刊论文
| 作者 | Liang, Hua1; Zou, Guohua1,2 |
| 刊名 | COMPUTATIONAL STATISTICS & DATA ANALYSIS
 |
| 出版日期 | 2008-01-20 |
| 卷号 | 52期号:5页码:2538-2548 |
| 关键词 | AIC BIC Kullback-Leibler information survival analysis |
| ISSN号 | 0167-9473 |
| DOI | 10.1016/j.csda.2007.09.003 |
| 英文摘要 | In survival analysis, it is of interest to appropriately select significant predictors. In this paper, we extend the AIC(C) selection procedure of Hurvich and Tsai to survival models to improve the traditional AIC for small sample sizes. A theoretical verification under a special case of the exponential distribution is provided. Simulation studies illustrate that the proposed method substantially outperforms its counterpart: AIC, in small samples, and competes it in moderate and large samples. Two real data sets are also analyzed. (c) 2007 Elsevier B.V. All rights reserved. |
| WOS研究方向 | Computer Science ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000253178600019 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/6988]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Liang, Hua |
| 作者单位 | 1.Univ Rochester, Med Ctr, Dept Biostat & Comp Biol, Rochester, NY 14642 USA 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Hua,Zou, Guohua. Improved AIC selection strategy for survival analysis[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2008,52(5):2538-2548. |
| APA | Liang, Hua,&Zou, Guohua.(2008).Improved AIC selection strategy for survival analysis.COMPUTATIONAL STATISTICS & DATA ANALYSIS,52(5),2538-2548. |
| MLA | Liang, Hua,et al."Improved AIC selection strategy for survival analysis".COMPUTATIONAL STATISTICS & DATA ANALYSIS 52.5(2008):2538-2548. |
入库方式： OAI收割
来源：数学与系统科学研究院
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