Survival Analysis: A Self-Learning Text, Third Edition / Edition 3

Survival Analysis: A Self-Learning Text, Third Edition / Edition 3

by David G. Kleinbaum, Mitchel Klein
     
 

ISBN-10: 1441966455

ISBN-13: 9781441966452

Pub. Date: 08/31/2011

Publisher: Springer New York

An excellent introduction for all those coming to the subject for the first time.

New material has been added to the second edition and the original six chapters have been modified.

The previous edition sold 9500 copies world wide since its release in 1996.

Based on numerous courses given by the author to students and researchers in the health sciences and is

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Overview

An excellent introduction for all those coming to the subject for the first time.

New material has been added to the second edition and the original six chapters have been modified.

The previous edition sold 9500 copies world wide since its release in 1996.

Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind.

Provides a "user-friendly" layout and includes numerous illustrations and exercises.

Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor.

Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Product Details

ISBN-13:
9781441966452
Publisher:
Springer New York
Publication date:
08/31/2011
Series:
Statistics for Biology and Health Series
Edition description:
3rd ed. 2012
Pages:
700
Sales rank:
695,687
Product dimensions:
7.30(w) x 10.10(h) x 1.80(d)

Table of 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.

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