Supported in part by the National Natural Science Foundation of China under(Grant No.11601097 and 11471302);the State Key Program of National Natural Science of China(Grant No.11231010)
For left censored response longitudinal data, we propose a composite quantile regression estimator(CQR) of regression parameter. Statistical properties such as consistency and asymptotic normality of CQR are studied...
Supported by National Natural Sciencc Foundation of China(Grant Nos.11301355,11671275,11231010 and11690015);Key Laboratory of RCSDS,CAS(Grant No.2008DP173182),BCMIIS
In this article, we study a class of Box-Cox transformation models for recurrent event data in the presence of terminal event, which includes the proportional means models as special cases. Estimating equation approac...
supported in part by the National Natural Science Foundation of China(Grant Nos.11471223,11231010,11028103,11071022,11501586,71420107025);Key project of Beijing Municipal Education Commission(Grant No.KZ201410028030);the Foundation of Beijing Center for Mathematics and Information Interdisciplinary Sciences
A consistent test via the partial penalized empirical likelihood approach for the parametric hy- pothesis testing under the sparse case, called the partial penalized empirical likelihood ratio (PPELR) test, is propo...
Supported by the Educational Commission of Hubei Province of China(Grant No.D20112503);National Natural Science Foundation of China(Grant Nos.11071022,11231010 and 11028103);the foundation of Beijing Center of Mathematics and Information Sciences
In this paper, the parameters of a p-dimensional linear structural EV(error-in-variable)model are estimated when the coefficients vary with a real variable and the model error is time series.The adjust weighted least ...
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 ...
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-...