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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
2017-08-01
发表期刊COMPUTATIONAL STATISTICS & DATA ANALYSIS
ISSN0167-9473
卷号112页码:186-197
摘要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.
关键词Additive rates model Center effects Recurrent events Terminal event Model checking
DOI10.1016/j.csda.2017.03.003
语种英语
资助项目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研究方向Computer Science ; Mathematics
WOS类目Computer Science, Interdisciplinary Applications ; Statistics & Probability
WOS记录号WOS:000401676100015
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/25419
专题应用数学研究所
通讯作者Song, Xinyuan
作者单位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
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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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