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Modeling Survival Data: Extending the Cox Model

  • Terry M. Therneau
  • Patricia M. Grambsch

Part of the Statistics for Biology and Health book series (SBH)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Terry M. Therneau, Patricia M. Grambsch
    Pages 1-6
  3. Terry M. Therneau, Patricia M. Grambsch
    Pages 7-37
  4. Terry M. Therneau, Patricia M. Grambsch
    Pages 39-77
  5. Terry M. Therneau, Patricia M. Grambsch
    Pages 79-86
  6. Terry M. Therneau, Patricia M. Grambsch
    Pages 87-126
  7. Terry M. Therneau, Patricia M. Grambsch
    Pages 127-152
  8. Terry M. Therneau, Patricia M. Grambsch
    Pages 153-168
  9. Terry M. Therneau, Patricia M. Grambsch
    Pages 169-229
  10. Terry M. Therneau, Patricia M. Grambsch
    Pages 231-260
  11. Terry M. Therneau, Patricia M. Grambsch
    Pages 261-287
  12. Back Matter
    Pages 289-350

About this book

Introduction

Extending the Cox Model is aimed at researchers, practitioners, and graduate students who have some exposure to traditional methods of survival analysis. The emphasis is on semiparametric methods based on the proportional hazards model. The inclusion of examples with SAS and S-PLUS code will make the book accessible to most working statisticians.

Keywords

Cox Model Cox Regression Model Estimator Radiologieinformationssystem SAS Survival Data Survival analysis statistics

Authors and affiliations

  • Terry M. Therneau
    • 1
  • Patricia M. Grambsch
    • 2
  1. 1.Department of Health Sciences ResearchMayo ClinicRochesterUSA
  2. 2.Division of Biostatistics, School of Public HealthUniversity of MinnesotaMinneapolisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3294-8
  • Copyright Information Springer-Verlag New York 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-3161-0
  • Online ISBN 978-1-4757-3294-8
  • Series Print ISSN 1431-8776
  • Buy this book on publisher's site