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 …

Objective: The aim of this study was to estimate probabilities of achieving the statistical cure
from hepatocellular carcinoma (HCC) with hepatic resection (HR) and liver transplantation …

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 …

I present a new empirical approach to the study of democratic consolidation. This approach
leads to new insights into the determinants of democratic consolidation that cannot be …

Cure models are a popular topic within statistical literature but are not as widely known in
the clinical literature. Many patients with cancer can be long-term survivors of their disease …

In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in
the diseased group of individuals returns to the same level as that expected in the general …

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years
that provides a comprehensive and systematic introduction to the basics of modern cure …

The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …

BACKGROUND A patient can be considered statistically cured from a specific disease when
their mortality rate returns to the same level as that of the general population. In the current …