Survival Analysis

A Self-Learning Text

  • David G. Kleinbaum

Part of the Statistics in the Health Sciences book series (SBH)

Table of contents

  1. Front Matter
    Pages i-xii
  2. David G. Kleinbaum
    Pages 1-44
  3. David G. Kleinbaum
    Pages 129-169
  4. David G. Kleinbaum
    Pages 171-210
  5. Back Matter
    Pages 255-324

About this book


This text on smvival analysis methods contains the following chapters: 1 Introduction to Smvival Analysis 2 Kaplan-Meier Survival Curves and the Log-Rank Test 3 The Cox Proportional Hazards Model and Its Characteristics 4 Evaluating the Proportional Hazards Assumption 5 The Stratified Cox Procedure 6 Extension of the Cox Proportional Hazards Model for Time­ Dependent Variables Each chapter contains a presentation of its topic in '1ecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that high­ light the main points, formulae, or examples being presented. The reader may also purchase directly from the author audio cassette tapes of each chapter. The use of the audiotape with the illustrations and formu­ lae, ignoring the script, is intended to be similar to a lecture. Tapes may be obtained by writing or calling the author at the following address: Depart­ ment of Epidemiology, Rollins School of Public Health, Emory University, 1518 CliftoIi Rd. N. E. , Atlanta, GA 30322; phone (404) 727-9667. This text is intended for self-study.


Excel Public Health Survival analysis epidemiology linear optimization

Authors and affiliations

  • David G. Kleinbaum
    • 1
  1. 1.Department of EpidemiologyEmory UniversityAtlantaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1996
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-2557-5
  • Online ISBN 978-1-4757-2555-1
  • Series Print ISSN 1431-8776
  • Buy this book on publisher's site