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The Cox Model and Its Applications

  • Mikhail Nikulin
  • Hong-Dar Isaac Wu

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 1-8
  3. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 9-33
  4. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 35-51
  5. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 53-62
  6. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 63-69
  7. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 71-79
  8. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 81-100
  9. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 101-107
  10. Mikhail Nikulin, Hong-Dar Isaac Wu
    Pages 109-114
  11. Back Matter
    Pages 115-124

About this book

Introduction

This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.

Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.

Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.

Keywords

proportional hazards reliability survival analysis failure time longevity

Authors and affiliations

  • Mikhail Nikulin
    • 1
  • Hong-Dar Isaac Wu
    • 2
  1. 1.Université Bordeaux SegaleFrance
  2. 2.National Chung-Hsing UniversityTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-49332-8
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-662-49331-1
  • Online ISBN 978-3-662-49332-8
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site