Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Introduction * Parametric Models * Semiparametric Models * Fraility Models * Cure Rate Models * Model Comparison * Joint Models for Longitudinal and Survival Data * Missing Covariate Data * Design and Monitoring of Randomized Clinical Trials * Other Topics