Main description:

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.

With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides:

An introduction to various areas in survival analysis for graduate students and novices
A reference to modern investigations into survival analysis for more established researchers
A text or supplement for a second or advanced course in survival analysis
A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Contents:

Regression Models for Right Censoring. Competing Risks. Model Selection and Validation. Other Censoring Schemes. Multivariate/Multistate Models. Clinical Trials. Index.