KMS Of Academy of mathematics and systems sciences, CAS
| Analysis of a fixed center effect additive rates model for recurrent event data | |
He, Haijin1; Pan, Deng2; Sun, Liuquan3 ; Li, Yimei4; Robison, Leslie L.5; Song, Xinyuan6,7
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| 2017-08-01 | |
| Source Publication | COMPUTATIONAL STATISTICS & DATA ANALYSIS
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| ISSN | 0167-9473 |
| Volume | 112Pages:186-197 |
| Abstract | A center effect additive rates model is suggested to analyze recurrent event data. The proposed model is a useful alternative to the center effect proportional rates model and provides a direct interpretation of parameters. The traditional estimation methods treat the centers as categorical variables, and they comprise many parameters when the number of centers is large and thus may not be feasible in many situations. An estimation method based on the difference in the observed to the expected number of recurrent events is recommended to address the deficiency of the traditional method. The asymptotic properties of the proposed estimator are established. We develop a goodness-of-fit test for model checking. Simulations are conducted to evaluate the small sample performance and show the computational advantage of the suggested method, The proposed methodology is applied to the Childhood Cancer Survivor Study. (C) 2017 Elsevier B.V. All rights reserved. |
| Keyword | Additive rates model Center effects Recurrent events Terminal event Model checking |
| DOI | 10.1016/j.csda.2017.03.003 |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[NSFC 11471277] ; National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[1160010769] ; National Natural Science Foundation of China[11690015] ; Foundation of Shenzhen University[2016011] ; Research Grant Council of HKSAR[14305014] ; Research Grant Council of HKSAR[14601115] ; Direct Grants of Chinese University of Hong Kong |
| WOS Research Area | Computer Science ; Mathematics |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Statistics & Probability |
| WOS ID | WOS:000401676100015 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/25419 |
| Collection | 应用数学研究所 |
| Corresponding Author | Song, Xinyuan |
| Affiliation | 1.Shenzhen Univ, Coll Math & Stat, Shengzeng, Guangdong, Peoples R China 2.Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan, Hubei, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China 4.St Jude Childrens Res Hosp, Dept Biostat, 332 N Lauderdale St, Memphis, TN 38105 USA 5.St Jude Childrens Res Hosp, Dept Epidemiol & Canc Control, 332 N Lauderdale St, Memphis, TN 38105 USA 6.Chinese Univ Hong Kong, Shenzhen Res Inst, Shatin, Hong Kong, Peoples R China 7.Chinese Univ Hong Kong, Dept Stat, Shatin, Hong Kong, Peoples R China |
| Recommended Citation GB/T 7714 | He, Haijin,Pan, Deng,Sun, Liuquan,et al. Analysis of a fixed center effect additive rates model for recurrent event data[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2017,112:186-197. |
| APA | He, Haijin,Pan, Deng,Sun, Liuquan,Li, Yimei,Robison, Leslie L.,&Song, Xinyuan.(2017).Analysis of a fixed center effect additive rates model for recurrent event data.COMPUTATIONAL STATISTICS & DATA ANALYSIS,112,186-197. |
| MLA | He, Haijin,et al."Analysis of a fixed center effect additive rates model for recurrent event data".COMPUTATIONAL STATISTICS & DATA ANALYSIS 112(2017):186-197. |
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