Longitudinal studies often incur several problems that challenge standard statistical
methods for data analysis. These problems include non-ignorable missing data in …

Variable selection has been discussed under many contexts and especially, a large
literature has been established for the analysis of right‐censored failure time data. In this …

Data with high-dimensional covariates are now commonly encountered. Compared to other
types of responses, research on high-dimensional data with censored survival responses is …

This paper concerns semiparametric regression models with additive nonparametric
components and high dimensional parametric components under sparsity assumptions. To …

Based on Stute's weighted least squares method, we consider the estimate procedures for
the accelerated failure time (AFT) model with high dimensional covariates. We use Kaplan …

In survival studies, current status data are frequently encountered when some individuals in
a study are not successively observed. This paper considers the problem of simultaneous …

In this paper, we consider a new estimation in censored partially linear additive models in
which the nonparametric components are approximated by polynomial spline. For …

Variable selection for interval‐censored failure time data has recently attracted a great deal
of attention along with the analysis of interval‐censored data in both method developments …

In this study, parametric and semi-parametric regression models are examined for random
right censorship. The components of the aforementioned regression models are estimated …

The analysis of survival data is often hampered by a potentially very large number of
covariates compounded with incomplete data. This paper considers the problem of variable …