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 …

The envelope spike (S) proteins of MERS-CoV and SARS-CoV determine the virus host
tropism and entry into host cells, and constitute a promising target for the development of …

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and
associations into models for survival data. In its simplest form, frailty is an unobserved …

Some failure time data come from a population that consists of some subjects who are
susceptible to and others who are nonsusceptible to the event of interest. The data typically …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

Consider starting from a symmetric distribution F on ℜ and generating a family of
distributions from it by employing two parameters whose role is to introduce skewness and …

Nonparametric methods have attracted less attention than their parametric counterparts for
cure rate analysis. In this paper, we study a general nonparametric mixture model. The …

The development of models and methods for cure rate estimation has recently burgeoned
into an important subfield of survival analysis. Much of the literature focuses on the standard …

During the course of an epidemic of a potentially fatal disease, it is important that the case
fatality ratio be well estimated. The authors propose a novel method for doing so based on …

The widely used Cox proportional hazards regression model for the analysis of censored
survival data has limited utility when either hazard functions themselves are of primary …