Survival Analysis

A Self-Learning Text

David G. Kleinbaum, Mitchel Klein - Collection Statistics for Biology and Health

590 pages, parution le 04/10/2005 (2^eme édition)

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Résumé

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 well as statisticians in academia who teach introductory and second-level courses on survival analysis. The second edition continues to use the unique "lecture-book" format of the first (1996) edition with the addition of three new chapters on advanced topics:

Chapter 7: Parametric Models
Chapter 8: Recurrent events
Chapter 9: Competing Risks.

Also, the Computer Appendix has been revised to provide step-by-step instructions for using the computer packages STATA (Version 7.0), SAS (Version 8.2), and SPSS (version 11.5) to carry out the procedures presented in the main text.

The original six chapters have been modified slightly.

L'auteur - David G. Kleinbaum

Emory University, Atlanta, GA

L'auteur - Mitchel Klein

Mitchel Klein, Emory University, Atlanta, GA

Sommaire

Introduction 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 Models
Recurrent events
Competing Risks

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	David G. Kleinbaum, Mitchel Klein
Collection	Statistics for Biology and Health
Parution	04/10/2005
Édition	2^eme édition
Nb. de pages	590
Format	18 x 24
Couverture	Relié
Poids	1160g
Intérieur	Noir et Blanc
EAN13	9780387239187
ISBN13	978-0-387-23918-7