The first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, software. Statistical researchers, graduate students, and practitioners in other disciplines will have a thorough review of modern cure model methodology.
Inhaltsverzeichnis
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.