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Survival analysis

a self-learning text
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Author: Search for this author Kleinbaum, David G.; Klein, Mitchell
Year: 2012
Publisher: New York, NY, Springer
Series: Statistics for biology and health
Media group: Dauerleihe
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Branch: Dauerleihe Locations: ME-10 220 Status: borrowed Reservations: 0 Due date: 8/14/2045 Barcode: 00259497 Floor plans: Floor plan Lending note:

Content

This greatly expanded third 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 third edition continues to use the unique "lecture-book" format of the first two editions with one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-step instructions for using the computer packages STATA, SAS, and SPSS, is expanded to include the software package R.
 
David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning.
TOC:
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 Survival Models.- Recurrent Events Survival Analysis.- Competing Risks Survival Analysis.

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Details

Author: Search for this author Kleinbaum, David G.; Klein, Mitchell
Statement of Responsibility: David G. Kleinbaum ; Mitchell Klein
Year: 2012
Publisher: New York, NY, Springer
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Classification: Search for this systematic ME-10, MA-10, BI-50
Subject type: Search for this subject type Monographien
ISBN: 9781441966452
ISBN (2nd): 1-4419-6645-5
Description: 3. edition, XV, 700 S. : Ill., graph. Darst.
Series: Statistics for biology and health
Tags: Medizin allgemein; Mathematik allgemein; Biologie Methoden
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Language: englisch||
Footnote: Literaturangaben
Media group: Dauerleihe