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Survival analysis : a self-learning text

Author: David G Kleinbaum; Mitchel Klein
Publisher: New York : Springer, ©2012.
Series: Statistics for biology and health.
Edition/Format:   Print book : English : 3rd edView all editions and formats
Summary:
Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology and more, the focus here is on applications of the techniques to biology and medicine.
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Details

Genre/Form: Programmed Instruction
Document Type: Book
All Authors / Contributors: David G Kleinbaum; Mitchel Klein
ISBN: 9781441966452 1441966455 9781441966469 1441966463
OCLC Number: 760292284
Description: xv, 700 pages : illustrations ; 27 cm.
Contents: 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.
Series Title: Statistics for biology and health.
Responsibility: David G. Kleinbaum, Mitchel Klein.

Abstract:

This very popular textbook, now in its third edition, offers an accessible description of fundamental and more advanced concepts and methods of logistic regression. This edition includes three new  Read more...
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From the book reviews:"The authors present fundamental and basic ideas and methods of analysis of survival/event-history data from both applications and methodological points of view. ... This book Read more...

 
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