KMS Of Academy of mathematics and systems sciences, CAS
| An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random | |
| Alternative Title | An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random |
Ye Peng1; Sun LiuQuan1 ; Zhao XingQiu2; Xu Wei3
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| 2015 | |
| Source Publication | SCIENCE CHINA-MATHEMATICS
 |
| ISSN | 1674-7283 |
| Volume | 58Issue:6Pages:1163-1178 |
| Abstract | Multivariate recurrent event data arises when study subjects may experience more than one type of recurrent events. In some situations, however, although event times are always observed, event categories may be partially missing. In this paper, an additive-multiplicative rates model is proposed for the analysis of multivariate recurrent event data when event categories are missing at random. A weighted estimating equations approach is developed for parameter estimation, and the resulting estimators are shown to be consistent and asymptotically normal. In addition, a model-checking technique is presented to assess the adequacy of the model. Simulation studies are conducted to evaluate the finite sample behavior of the proposed estimators, and an application to a platelet transfusion reaction study is provided. |
| Other Abstract | Multivariate recurrent event data arises when study subjects may experience more than one type of recurrent events. In some situations, however, although event times are always observed, event categories may be partially missing. In this paper, an additive-multiplicative rates model is proposed for the analysis of multivariate recurrent event data when event categories are missing at random. A weighted estimating equations approach is developed for parameter estimation, and the resulting estimators are shown to be consistent and asymptotically normal. In addition, a model-checking technique is presented to assess the adequacy of the model. Simulation studies are conducted to evaluate the finite sample behavior of the proposed estimators, and an application to a platelet transfusion reaction study is provided. |
| Keyword | MULTIPLE IMPUTATION METHODS COMPETING RISKS MODEL REGRESSION-COEFFICIENTS COUNTING-PROCESSES FAILURE additive-multiplicative rates model missing data multivariate recurrent events semiparametric model weighted estimating equation |
| Indexed By | CSCD |
| Language | 英语 |
| Funding Project | [National Natural Science Foundation of China] ; [Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences] ; [Beijing Center for Mathematics and Information Interdisciplinary Sciences] ; [Research Grant Council of Hong Kong] ; [Hong Kong Polytechnic University] |
| CSCD ID | CSCD:5444901 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/53704 |
| Collection | 应用数学研究所 |
| Affiliation | 1.中国科学院数学与系统科学研究院 2.Hong Kong Polytech Univ, Dept Appl Math, Shenzhen Res Institute, Hong Kong, Hong Kong, Peoples R China 3.University Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada |
| Recommended Citation GB/T 7714 | Ye Peng,Sun LiuQuan,Zhao XingQiu,et al. An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random[J]. SCIENCE CHINA-MATHEMATICS,2015,58(6):1163-1178. |
| APA | Ye Peng,Sun LiuQuan,Zhao XingQiu,&Xu Wei.(2015).An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random.SCIENCE CHINA-MATHEMATICS,58(6),1163-1178. |
| MLA | Ye Peng,et al."An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random".SCIENCE CHINA-MATHEMATICS 58.6(2015):1163-1178. |
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