This article considers the utility of the bounded cumulative hazard model in cure rate
estimation, which is an appealing alternative to the widely used two-component mixture …

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 …

Survival analysis arises in many fields of study including medicine, biology, engineering,
public health, epidemiology, and economics. This book provides a comprehensive treatment …

Clustered survival data are encountered in many scientific disciplines including human and
veterinary medicine, biology, epidemiology, public health and demography. Frailty models …

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 …

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 …

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 …

Joint modeling of longitudinal and survival data is becoming increasingly essential in most
cancer and AIDS clinical trials. We propose a likelihood approach to extend both …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

Several recent papers (eg,, Journal of the American Statistical Association 94, 909–919;,
Biometrics 57, 383–388) have described statistical methods for use with time-to-event data …