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Modeling Survival Data Using Frailty Models

Second Edition

  • David D.┬áHanagal
Book

Part of the Industrial and Applied Mathematics book series (INAMA)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Basic Concepts in Survival Analysis

    1. Front Matter
      Pages 1-1
    2. David D. Hanagal
      Pages 3-18
    3. David D. Hanagal
      Pages 19-47
    4. David D. Hanagal
      Pages 49-70
  3. Shared Frailty Models for Survival Data

    1. Front Matter
      Pages 71-71
    2. David D. Hanagal
      Pages 73-83
    3. David D. Hanagal
      Pages 85-121
    4. David D. Hanagal
      Pages 123-134
    5. David D. Hanagal
      Pages 153-163
    6. David D. Hanagal
      Pages 165-190
  4. Correlated Frailty Models for Survival Data

    1. Front Matter
      Pages 249-249
    2. David D. Hanagal
      Pages 251-268
  5. Back Matter
    Pages 293-295

About this book

Introduction

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.

Keywords

Survival Analysis Frailty Models Bayesian Inference Statistical Modelling Parametric Models Non-parametric Models Semi-parametric Models Estimation Methods Hypothesis Testing

Authors and affiliations

  • David D.┬áHanagal
    • 1
  1. 1.Symbiosis Statistical InstituteSymbiosis International UniversityPuneIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-1181-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-981-15-1180-6
  • Online ISBN 978-981-15-1181-3
  • Series Print ISSN 2364-6837
  • Series Online ISSN 2364-6845
  • Buy this book on publisher's site