Multistate Models for the Analysis of Life History Data provides the first comprehensive
treatment of multistate modeling and analysis, including parametric, nonparametric and …

The populations of interest in modern studies are very often heterogeneous. The population
heterogeneity, the qualitative nature of the outcome variable and the high dimensionality of …

Imbalanced data, in which the data exhibit an unequal or highly-skewed distribution
between its classes/categories, are pervasive in many scientific fields, with application range …

General biased data frequently arises in various observational studies, either naturally or by
design. The data is not representative of the target population, highlighting the importance of …

Outcome-dependent sampling designs such as the case–control or case–cohort design are
widely used in epidemiological studies for their outstanding cost-effectiveness. In this article …

We propose a class of power-transformed linear quantile regression models for time-to-
event observations subject to censoring. By introducing a process of power transformation …

This paper presents a novel class of semiparametric estimating functions for the additive
model with right-censored data that are obtained from general biased-sampling. The new …

Quantile regression is a flexible and effective tool for modeling survival data and its
relationship with important covariates, which often vary over time. Informative right censoring …

In modern scientific discoveries, important variables identification in analyzing high
dimensional data is intrinsically challenging, especially when there are complex …