Based on Vector Aitken(VA)method,we propose an accelerated Expectation-Maximization(EM)algorithm,VA-accelerated EM algor......

Continuous-time Markov chains are widely used as models for stochastic counting processes in molecular evolution....

Recent advancements in medical and other fields of scientific research have allowed scientists to collect data of unprec......

There is increasing acknowledgement of the existence of patient subgroups within clinical research.As a consequence,many......

Next generation sequencing(NGS)data contain measurement errors.Normalizing NGS data is challenging and crucial.We propos......

In this paper we discuss how to model the mean and covariance structures in linear mixed models,simultaneously....

Partially observed cured data occur in the analysis of spontaneous abortion(SAB)in observational studies in pregnancy.In......

An illness-death model with additive hazard and additive frailty was proposed on semicompeting risks situation.Compared ......

The maximum likelihood estimation(MLE)and the least squares estimation have been widely used for fitting the mixture reg......

　　Model selection in multivariate semiparametric regression remains a challenge,especially for longitudinal data.We pr......

　　Normal mixture regression models are one of the most important statistical data analysis tools in a heterogeneous po......

In some situations, the failure time of interest is defined as the gap time between two related events and the observati......