Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors
文献类型：期刊论文
| 作者 | Zhang Feipeng1; Zhou Yong1 |
| 刊名 | ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES
 |
| 出版日期 | 2013 |
| 卷号 | 29期号:2页码:241-252 |
| 关键词 | HAZARDS CURE MODEL PROPORTIONAL HAZARDS MIXTURE-MODELS REGRESSION-MODEL TIME semiparametric proportional hazards models left-truncated and right-censored data long-term survivors |
| ISSN号 | 0168-9673 |
| 其他题名 | Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors |
| 英文摘要 | We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided. |
| 资助项目 | [Natural Science Funds for Distinguished Young Scholar] ; [Creative Research Groups of China] ; [Shanghai University of Finance and Economics Project 211 Phase III] ; [Shanghai Leading Academic Discipline Project] ; [Graduate Creation Funds of Shanghai University of Finance and Economics] |
| 语种 | 英语 |
| CSCD记录号 | CSCD:4800932 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/54575]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 作者单位 | 1.上海大学 2.中国科学院数学与系统科学研究院 |
| 推荐引用方式 GB/T 7714 | Zhang Feipeng,Zhou Yong. Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors[J]. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2013,29(2):241-252. |
| APA | Zhang Feipeng,&Zhou Yong.(2013).Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors.ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,29(2),241-252. |
| MLA | Zhang Feipeng,et al."Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors".ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES 29.2(2013):241-252. |
入库方式： OAI收割
来源：数学与系统科学研究院
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