国家自然科学基金(11171330)

作品数：5被引量：8H指数：2
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Analysis of Panel Count Data with Time-dependent Covariates and Informative Observation Process被引量：2
《Acta Mathematicae Applicatae Sinica》2017年第1期147-156,共10页Sha FANG Hai-xiang ZHANG Liu-quan SUN De-hui WANG 
partially supported by National Natural Science Foundation of China(11671267);Scientific Research Level Improvement Quota Project of Capital University of Economics and Business and Scientific Research Foundation for Young Teachers of Capital University of Economics and Business(00591654490336);partially supported by the National Natural Science Foundation of China(Nos.11301212,11401146);partially supported by the National Natural Science Foundation of China Grants(No.11231010,11171330 and 11021161);Key Laboratory of RCSDS,CAS(No.2008DP173182);partly supported by National Natural Science Foundation of China(11271155);Specialized Research Fund for the Doctoral Program of Higher Education(20110061110003);Scientific Research Fund of Jilin University(201100011);Jilin Province Natural Science Foundation(20101596)
Panel count data occur in many clinical and observational studies and in some situations the observation process is informative. In this article, we propose a new joint model for the analysis of panel count data with ...
关键词：estimating equation informative observation process joint modeling model checking panel countdata 
Analyzing Longitudinal Data with Informative Observation and Terminal Event Times
《Acta Mathematicae Applicatae Sinica》2016年第4期1035-1052,共18页Rui MIAO Xin CHEN Liu-quan SUN 
Supported by the National Natural Science Foundation of China Grants(No.11231010 and 11171330);Key Laboratory of RCSDS,CAS(No.2008DP173182)
Longitudinal data often arise when subjects are followed over a period of time, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-...
关键词：borrow-strength method frailty model informative observation times joint modeling longitudi-nal data terminal event 
Time-varying latent model for longitudinal data with informative observation and terminal event times
《Science China Mathematics》2016年第12期2393-2410,共18页PEI YanBo DU Ting SUN LiuQuan 
supported by National Natural Science Foundation of China (Grant Nos. 11231010, 11171330 and 11201315);Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences (Grant No. 2008DP173182);Beijing Center for Mathematics and Information Interdisciplinary Sciences
Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparamet...
关键词：estimating equations informative observation times joint modeling longitudinal data terminal event time-varying effect 
An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random被引量：2
《Science China Mathematics》2015年第6期1163-1178,共16页YE Peng SUN LiuQuan ZHAO XingQiu XU Wei 
supported by National Natural Science Foundation of China(Grant Nos.11231010,11171330 and 11371299);Key Laboratory of Random Complex Structures and Data Science,Chinese Academy of Sciences(Grant No.2008DP173182);Beijing Center for Mathematics and Information Interdisciplinary Sciences,the Research Grant Council of Hong Kong(Grant Nos.504011 and 503513);The Hong Kong Polytechnic University
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 partia...
关键词：additive-multiplicative rates model missing data multivariate recurrent events semiparametricmodel weighted estimating equation 
A Class of Weighted Estimators for Additive Hazards Model in Case-cohort Studies被引量：4
《Acta Mathematicae Applicatae Sinica》2014年第4期1153-1168,共16页Cai-lin DONG Jie ZHOU Liu-quan SUN 
partly supported by the National Natural Science Foundation of China Grants(No.11231010,11171330 and 11101314);Key Laboratory of RCSDS,CAS(No.2008DP173182)and BCMIIS
Case-cohort sampling is a commonly used and efficient method for studying large cohorts. In many situations, some covariates are easily measured on all cohort subjects, and surrogate measurements of the expensive cova...
关键词：additive hazards case-cohort study stratified sampling survival data two-phase design 
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