KMS Of Academy of mathematics and systems sciences, CAS
| A joint modeling approach for analyzing marker data in the presence of a terminal event | |
Zhou, Jie1; Chen, Xin2; Song, Xinyuan3; Sun, Liuquan4,5
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| 2020-03-28 | |
| Source Publication | BIOMETRICS
 |
| ISSN | 0006-341X |
| Pages | 12 |
| Abstract | In many medical studies, markers are contingent on recurrent events and the cumulative markers are usually of interest. However, the recurrent event process is often interrupted by a dependent terminal event, such as death. In this article, we propose a joint modeling approach for analyzing marker data with informative recurrent and terminal events. This approach introduces a shared frailty to specify the explicit dependence structure among the markers, the recurrent, and terminal events. Estimation procedures are developed for the model parameters and the degree of dependence, and a prediction of the covariate-specific cumulative markers is provided. The finite sample performance of the proposed estimators is examined through simulation studies. An application to a medical cost study of chronic heart failure patients from the University of Virginia Health System is illustrated. |
| Keyword | joint modeling longitudinal data analysis marker process medical costs recurrent events terminal event |
| DOI | 10.1111/biom.13260 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[11671275] ; National Natural Science Foundation of China[11671274] ; National Natural Science Foundation of China[11471223] ; National Natural Science Foundation of China[11471277] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11926341] ; National Natural Science Foundation of China[2008DP173182] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; Research Grants Council of the Hong Kong Special Administrative Region[14303017] ; Research Grants Council of the Hong Kong Special Administrative Region[14301918] ; Academy for Multidisciplinary Studies of Capital Normal University |
| WOS Research Area | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics |
| WOS Subject | Biology ; Mathematical & Computational Biology ; Statistics & Probability |
| WOS ID | WOS:000521843500001 |
| Publisher | WILEY |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51011 |
| Collection | 应用数学研究所 |
| Corresponding Author | Sun, Liuquan |
| Affiliation | 1.Capital Normal Univ, Sch Math, Beijing, Peoples R China 2.Shanghai Lixin Univ Accounting & Finance, Sch Math & Stat, Shanghai, Peoples R China 3.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R China |
| Recommended Citation GB/T 7714 | Zhou, Jie,Chen, Xin,Song, Xinyuan,et al. A joint modeling approach for analyzing marker data in the presence of a terminal event[J]. BIOMETRICS,2020:12. |
| APA | Zhou, Jie,Chen, Xin,Song, Xinyuan,&Sun, Liuquan.(2020).A joint modeling approach for analyzing marker data in the presence of a terminal event.BIOMETRICS,12. |
| MLA | Zhou, Jie,et al."A joint modeling approach for analyzing marker data in the presence of a terminal event".BIOMETRICS (2020):12. |
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