Joint modeling of generalized scale-change models for recurrent event and failure time data
文献类型：期刊论文
| 作者 | Wang, Xiaoyu ; Sun, Liuquan
|
| 刊名 | LIFETIME DATA ANALYSIS
 |
| 出版日期 | 2022-09-06 |
| 页码 | 33 |
| 关键词 | Failure time Frailty Generalized scale-change models Informative censoring Joint modeling Recurrent events |
| ISSN号 | 1380-7870 |
| DOI | 10.1007/s10985-022-09573-5 |
| 英文摘要 | Recurrent event and failure time data arise frequently in many clinical and observational studies. In this article, we propose a joint modeling of generalized scale-change models for the recurrent event process and the failure time, and allow the two processes to be correlated through a shared frailty. The proposed joint model is flexible in that it requires neither the Poisson assumption for the recurrent event process nor a parametric assumption on the frailty distribution. Estimating equation approaches are developed for parameter estimation, and the asymptotic properties of the resulting estimators are established. Simulation studies are conducted to evaluate the finite sample performances of the proposed method. An application to a medical cost study of chronic heart failure patients is provided. |
| 资助项目 | National Natural Science Foundation of China[12171463] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000850416300002 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/61040]  |
| 专题 | 博士后 应用数学研究所 |
| 通讯作者 | Sun, Liuquan |
| 作者单位 | Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xiaoyu,Sun, Liuquan. Joint modeling of generalized scale-change models for recurrent event and failure time data[J]. LIFETIME DATA ANALYSIS,2022:33. |
| APA | Wang, Xiaoyu,&Sun, Liuquan.(2022).Joint modeling of generalized scale-change models for recurrent event and failure time data.LIFETIME DATA ANALYSIS,33. |
| MLA | Wang, Xiaoyu,et al."Joint modeling of generalized scale-change models for recurrent event and failure time data".LIFETIME DATA ANALYSIS (2022):33. |
入库方式： OAI收割
来源：数学与系统科学研究院
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