An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random

CSpace > 应用数学研究所

	An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random
其他题名	An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random
	Ye Peng 1; Sun LiuQuan1 ; Zhao XingQiu 2; Xu Wei 3
	2015
发表期刊	SCIENCE CHINA-MATHEMATICS
ISSN	1674-7283
卷号	58 期号:6 页码:1163-1178
摘要	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.
其他摘要	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.
关键词	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
收录类别	CSCD
语种	英语
资助项目	[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记录号	CSCD:5444901
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/53704
专题	应用数学研究所
作者单位	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
推荐引用方式 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.