When analyzing time-to-event data, it often happens that a certain fraction of the data
corresponds to subjects who will never experience the event of interest. These event times …

Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …

We propose a new auxiliary information synthesis method to utilize subgroup survival
information at multiple time points under the semi-parametric mixture cure rate model. After …

Due to the advances in medical research in the past decades, cancer is not necessarily a
fatal disease anymore. For specific cancer types, one can now reasonably expect a fraction …

With rapidly increasing data sources, statistical methods that make use of external
information are gradually becoming popular tools in medical research. In this article, we …

Modelling the outcome after loan default is receiving increasing attention, and survival
analysis is particularly suitable for this purpose due to the likely presence of censoring in the …

In epidemiological studies, the case-cohort design is a widely used method for their
outstanding cost-effectiveness. Most of the existing works for the case-cohort design are …

In survival analysis, models with a change point for independent survival data have been
extensively studied. However, few works in the literature focus on clustered survival data …

Analysis of lifetime data from epidemiological studies or destructive testing often involves
current status censoring, wherein individuals are examined only once and their event status …

Many quantities of interest in survival analysis are smooth, closed-form functionals of the law
of the observations. For instance, the conditional law of a lifetime of interest under random …