Survival Analysis A Self-Learning Text /

• Main Authors: Kleinbaum, David G. (Author), Klein, Mitchel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Edition: Second Edition.
• Series: Statistics for Biology and Health,
• Subjects: Mathematics.; Epidemiology.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.

This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as wel...

Table of Contents:

• to Survival Analysis
• Kaplan-Meier Survival Curves and the Log-Rank Test
• The Cox Proportional Hazards Model and Its Characteristics
• Evaluating the Proportional Hazards Assumption
• The Stratified Cox Procedure
• Extension of the Cox Proportional Hazards Model for Time-Dependent Variables
• Parametric Survival Models
• Recurrent Event Survival Analysis
• Competing Risks Survival Analysis.