Main description:

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained from statistical analysis to decision-marking and inference in cancer research
Self-contained as sufficient the technical details and statistical background are provided to make its materials easy to grasp
Timely book on most relevant and important issues on cure models by experienced statistical researchers
Includes Applications to real-life problems
Inclusion of R codes for some of the novel methods and high-impact studies

Contents:

1. Introduction. 2. The Parametric Cure Model. 3. The Semiparametric and Nonparametric Cure Models. 4. Cure Models for Multivariate Survival Data and Competing Risks. 5. Joint Modeling of Longitudinal and Survival Data with a Cure Fraction. 6. Testing the Existence of Cured Subjects and Sufficient Follow-up. 7. Bayesian Cure Model. 8. Analysis of Population-Based Cancer Survival Data. 9. Design and Analysis of Cancer Clinical Trials.